desc_paul.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The Tutorial of Paul et al (2015) for [desc](https://eleozzr.github.io/desc)\n",
    "- The reproducible of DESC for Paul's data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import os              \n",
    "os.environ['PYTHONHASHSEED'] = '0'\n",
    "import desc          \n",
    "import pandas as pd                                                    \n",
    "import numpy as np                                                     \n",
    "import scanpy.api as sc                                                                                 \n",
    "from time import time                                                       \n",
    "import sys\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline \n",
    "sc.settings.set_figure_params(dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.5.3 |Continuum Analytics, Inc.| (default, Mar  6 2017, 11:58:13) \n",
      "[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]\n"
     ]
    }
   ],
   "source": [
    "print(sys.version)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scanpy==1.3.6 anndata==0.6.18 numpy==1.14.6 scipy==1.1.0 pandas==0.23.0 scikit-learn==0.19.2 statsmodels==0.9.0 python-igraph==0.7.1 louvain==0.6.1 \n"
     ]
    }
   ],
   "source": [
    "sc.logging.print_versions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.0.0.2'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "desc.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: In Scanpy 0.*, this returned logarithmized data. Now it returns non-logarithmized data.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "... storing 'paul15_clusters' as categorical\n"
     ]
    }
   ],
   "source": [
    "#we have downloaded this data, if not, the following will download data automatically\n",
    "adata=sc.datasets.paul15()\n",
    "adata.obs['celltype']=adata.obs['paul15_clusters'].str.split(\"[0-9]{1,2}\", n = 1, expand = True).values[:,1]\n",
    "adata.obs['celltype2']=adata.obs['paul15_clusters']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import desc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Start to process resolution= 0.8\n",
      "The number of cpu in your computer is 12\n",
      "Checking whether paul_result/ae_weights,h5  exists in the directory\n",
      "Pretraining the 1th layer...\n",
      "learning rate = 0.1\n",
      "Epoch 1/50\n",
      "2730/2730 [==============================] - 0s 99us/step - loss: 0.9989\n",
      "Epoch 2/50\n",
      "2730/2730 [==============================] - 0s 68us/step - loss: 0.9650\n",
      "Epoch 3/50\n",
      "2730/2730 [==============================] - 0s 68us/step - loss: 0.9123\n",
      "Epoch 4/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.8454\n",
      "Epoch 5/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.8024\n",
      "Epoch 6/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.7768\n",
      "Epoch 7/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.7565\n",
      "Epoch 8/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.7414\n",
      "Epoch 9/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.7293\n",
      "Epoch 10/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.7213\n",
      "Epoch 11/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.7161\n",
      "Epoch 12/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.7108\n",
      "Epoch 13/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.7064\n",
      "Epoch 14/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.7036\n",
      "Epoch 15/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.7002\n",
      "Epoch 16/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.6979\n",
      "Epoch 17/50\n",
      "2730/2730 [==============================] - 0s 64us/step - loss: 0.6954\n",
      "Epoch 18/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6927\n",
      "Epoch 19/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6907\n",
      "Epoch 20/50\n",
      "2730/2730 [==============================] - 0s 68us/step - loss: 0.6890\n",
      "Epoch 21/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.6871\n",
      "Epoch 22/50\n",
      "2730/2730 [==============================] - 0s 79us/step - loss: 0.6858\n",
      "Epoch 23/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.6836\n",
      "Epoch 24/50\n",
      "2730/2730 [==============================] - 0s 77us/step - loss: 0.6820\n",
      "Epoch 25/50\n",
      "2730/2730 [==============================] - 0s 67us/step - loss: 0.6805\n",
      "Epoch 26/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.6790\n",
      "Epoch 27/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6772\n",
      "Epoch 28/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.6761\n",
      "Epoch 29/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6743\n",
      "Epoch 30/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.6729\n",
      "Epoch 31/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6717\n",
      "Epoch 32/50\n",
      "2730/2730 [==============================] - 0s 64us/step - loss: 0.6707\n",
      "Epoch 33/50\n",
      "2730/2730 [==============================] - 0s 64us/step - loss: 0.6690\n",
      "Epoch 34/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.6674\n",
      "Epoch 35/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6665\n",
      "Epoch 36/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6657\n",
      "Epoch 37/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6643\n",
      "Epoch 38/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6632\n",
      "Epoch 39/50\n",
      "2730/2730 [==============================] - 0s 73us/step - loss: 0.6625\n",
      "Epoch 40/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6609\n",
      "Epoch 41/50\n",
      "2730/2730 [==============================] - 0s 74us/step - loss: 0.6599\n",
      "Epoch 42/50\n",
      "2730/2730 [==============================] - 0s 71us/step - loss: 0.6592\n",
      "Epoch 43/50\n",
      "2730/2730 [==============================] - 0s 69us/step - loss: 0.6584\n",
      "Epoch 44/50\n",
      "2730/2730 [==============================] - 0s 71us/step - loss: 0.6576\n",
      "Epoch 45/50\n",
      "2730/2730 [==============================] - 0s 72us/step - loss: 0.6569\n",
      "Epoch 46/50\n",
      "2730/2730 [==============================] - 0s 73us/step - loss: 0.6551\n",
      "Epoch 47/50\n",
      "2730/2730 [==============================] - 0s 76us/step - loss: 0.6550\n",
      "Epoch 48/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6543\n",
      "Epoch 49/50\n",
      "2730/2730 [==============================] - 0s 68us/step - loss: 0.6533\n",
      "Epoch 50/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6527\n",
      "learning rate = 0.01\n",
      "Epoch 1/50\n",
      "2730/2730 [==============================] - 0s 83us/step - loss: 0.6517\n",
      "Epoch 2/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.6525\n",
      "Epoch 3/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6518\n",
      "Epoch 4/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.6522\n",
      "Epoch 5/50\n",
      "2730/2730 [==============================] - 0s 64us/step - loss: 0.6520\n",
      "Epoch 6/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.6521\n",
      "Epoch 7/50\n",
      "2730/2730 [==============================] - 0s 64us/step - loss: 0.6521\n",
      "Epoch 8/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6515\n",
      "Epoch 9/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6521\n",
      "Epoch 10/50\n",
      "2730/2730 [==============================] - 0s 64us/step - loss: 0.6514\n",
      "Epoch 11/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.6510\n",
      "Epoch 12/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.6511\n",
      "Epoch 13/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6510\n",
      "Epoch 14/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6511\n",
      "Epoch 15/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6512\n",
      "Epoch 16/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6505\n",
      "Epoch 17/50\n",
      "2730/2730 [==============================] - 0s 64us/step - loss: 0.6510\n",
      "Epoch 18/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.6509\n",
      "Epoch 19/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.6505\n",
      "Epoch 20/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.6509\n",
      "Epoch 21/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.6509\n",
      "Epoch 22/50\n",
      "2730/2730 [==============================] - 0s 64us/step - loss: 0.6507\n",
      "Epoch 23/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6507\n",
      "Epoch 24/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6509\n",
      "Epoch 25/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.6505\n",
      "Epoch 26/50\n",
      "2730/2730 [==============================] - 0s 67us/step - loss: 0.6505\n",
      "Epoch 00026: early stopping\n",
      "learning rate = 0.001\n",
      "Epoch 1/50\n",
      "2730/2730 [==============================] - 0s 91us/step - loss: 0.6505\n",
      "Epoch 2/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.6499\n",
      "Epoch 3/50\n",
      "2730/2730 [==============================] - 0s 64us/step - loss: 0.6503\n",
      "Epoch 4/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.6501\n",
      "Epoch 5/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6501\n",
      "Epoch 6/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6501\n",
      "Epoch 7/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6504\n",
      "Epoch 8/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6511\n",
      "Epoch 9/50\n",
      "2730/2730 [==============================] - 0s 67us/step - loss: 0.6504\n",
      "Epoch 10/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6497\n",
      "Epoch 11/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.6502\n",
      "Epoch 12/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.6500\n",
      "Epoch 13/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6504\n",
      "Epoch 14/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.6504\n",
      "Epoch 15/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6502\n",
      "Epoch 16/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6504\n",
      "Epoch 17/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.6505\n",
      "Epoch 18/50\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6499\n",
      "Epoch 19/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.6497\n",
      "Epoch 20/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.6503\n",
      "Epoch 00020: early stopping\n",
      "The 1th layer has been pretrained.\n",
      "Pretraining the 2th layer...\n",
      "learning rate = 0.1\n",
      "Epoch 1/50\n",
      "2730/2730 [==============================] - 0s 31us/step - loss: 1.4115\n",
      "Epoch 2/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.9837\n",
      "Epoch 3/50\n",
      "2730/2730 [==============================] - 0s 6us/step - loss: 0.7769\n",
      "Epoch 4/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.6489\n",
      "Epoch 5/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.5653\n",
      "Epoch 6/50\n",
      "2730/2730 [==============================] - 0s 6us/step - loss: 0.5002\n",
      "Epoch 7/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.4502\n",
      "Epoch 8/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.4255\n",
      "Epoch 9/50\n",
      "2730/2730 [==============================] - 0s 9us/step - loss: 0.4102\n",
      "Epoch 10/50\n",
      "2730/2730 [==============================] - 0s 9us/step - loss: 0.3891\n",
      "Epoch 11/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.3852\n",
      "Epoch 12/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.3719\n",
      "Epoch 13/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.3685\n",
      "Epoch 14/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.3625\n",
      "Epoch 15/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.3559\n",
      "Epoch 16/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.3530\n",
      "Epoch 17/50\n",
      "2730/2730 [==============================] - ETA: 0s - loss: 0.357 - 0s 8us/step - loss: 0.3498\n",
      "Epoch 18/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.3448\n",
      "Epoch 19/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.3334\n",
      "Epoch 20/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.3349\n",
      "Epoch 21/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.3266\n",
      "Epoch 22/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.3246\n",
      "Epoch 23/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.3182\n",
      "Epoch 24/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.3270\n",
      "Epoch 25/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.3159\n",
      "Epoch 26/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.3202\n",
      "Epoch 27/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.3203\n",
      "Epoch 28/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.3178\n",
      "Epoch 29/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.3105\n",
      "Epoch 30/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.3027\n",
      "Epoch 31/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.3064\n",
      "Epoch 32/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.3025\n",
      "Epoch 33/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2981\n",
      "Epoch 34/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.2975\n",
      "Epoch 35/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2968\n",
      "Epoch 36/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.3054\n",
      "Epoch 37/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2964\n",
      "Epoch 38/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.3001\n",
      "Epoch 39/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2968\n",
      "Epoch 40/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2915\n",
      "Epoch 41/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.2872\n",
      "Epoch 42/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2884\n",
      "Epoch 43/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.2914\n",
      "Epoch 44/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.2876\n",
      "Epoch 45/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.2868\n",
      "Epoch 46/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.2877\n",
      "Epoch 47/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2825\n",
      "Epoch 48/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2893\n",
      "Epoch 49/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.2834\n",
      "Epoch 50/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2821\n",
      "learning rate = 0.01\n",
      "Epoch 1/50\n",
      "2730/2730 [==============================] - 0s 34us/step - loss: 0.2813\n",
      "Epoch 2/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.2734\n",
      "Epoch 3/50\n",
      "2730/2730 [==============================] - 0s 9us/step - loss: 0.2726\n",
      "Epoch 4/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.2756\n",
      "Epoch 5/50\n",
      "2730/2730 [==============================] - 0s 9us/step - loss: 0.2759\n",
      "Epoch 6/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.2739\n",
      "Epoch 7/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2745\n",
      "Epoch 8/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.2771\n",
      "Epoch 9/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2774\n",
      "Epoch 10/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2794\n",
      "Epoch 11/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2759\n",
      "Epoch 12/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2752\n",
      "Epoch 13/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2785\n",
      "Epoch 00013: early stopping\n",
      "learning rate = 0.001\n",
      "Epoch 1/50\n",
      "2730/2730 [==============================] - 0s 36us/step - loss: 0.2744\n",
      "Epoch 2/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2765\n",
      "Epoch 3/50\n",
      "2730/2730 [==============================] - 0s 6us/step - loss: 0.2763\n",
      "Epoch 4/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2734\n",
      "Epoch 5/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2747\n",
      "Epoch 6/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2761\n",
      "Epoch 7/50\n",
      "2730/2730 [==============================] - 0s 8us/step - loss: 0.2765\n",
      "Epoch 8/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2741\n",
      "Epoch 9/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2736\n",
      "Epoch 10/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2707\n",
      "Epoch 11/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2720\n",
      "Epoch 12/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2763\n",
      "Epoch 13/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2779\n",
      "Epoch 14/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2750\n",
      "Epoch 15/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2762\n",
      "Epoch 16/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2750\n",
      "Epoch 17/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2747\n",
      "Epoch 18/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2802\n",
      "Epoch 19/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2759\n",
      "Epoch 20/50\n",
      "2730/2730 [==============================] - 0s 7us/step - loss: 0.2779\n",
      "Epoch 00020: early stopping\n",
      "The 2th layer has been pretrained.\n",
      "Copying layer-wise pretrained weights to deep autoencoders\n",
      "Fine-tuning autoencoder end-to-end\n",
      "learning rate = 1\n",
      "Epoch 1/50\n",
      "2730/2730 [==============================] - 0s 86us/step - loss: 0.6421\n",
      "Epoch 2/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.6386\n",
      "Epoch 3/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.6358\n",
      "Epoch 4/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.6334\n",
      "Epoch 5/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6314\n",
      "Epoch 6/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.6297\n",
      "Epoch 7/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.6282\n",
      "Epoch 8/50\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.6267\n",
      "Epoch 9/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.6255\n",
      "Epoch 10/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.6242\n",
      "Epoch 11/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.6231\n",
      "Epoch 12/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.6220\n",
      "Epoch 13/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.6209\n",
      "Epoch 14/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.6200\n",
      "Epoch 15/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.6191\n",
      "Epoch 16/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.6182\n",
      "Epoch 17/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.6174\n",
      "Epoch 18/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6165\n",
      "Epoch 19/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6158\n",
      "Epoch 20/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.6150\n",
      "Epoch 21/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.6144\n",
      "Epoch 22/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.6137\n",
      "Epoch 23/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.6130\n",
      "Epoch 24/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.6124\n",
      "Epoch 25/50\n",
      "2730/2730 [==============================] - 0s 64us/step - loss: 0.6118\n",
      "Epoch 26/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.6112\n",
      "Epoch 27/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.6106\n",
      "Epoch 28/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.6100\n",
      "Epoch 29/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.6095\n",
      "Epoch 30/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.6090\n",
      "Epoch 31/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.6085\n",
      "Epoch 32/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.6080\n",
      "Epoch 33/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.6074\n",
      "Epoch 34/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.6070\n",
      "Epoch 35/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.6065\n",
      "Epoch 36/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6061\n",
      "Epoch 37/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.6056\n",
      "Epoch 38/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.6052\n",
      "Epoch 39/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.6048\n",
      "Epoch 40/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.6044\n",
      "Epoch 41/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.6040\n",
      "Epoch 42/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.6036\n",
      "Epoch 43/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6032\n",
      "Epoch 44/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.6028\n",
      "Epoch 45/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.6024\n",
      "Epoch 46/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.6021\n",
      "Epoch 47/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.6017\n",
      "Epoch 48/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.6014\n",
      "Epoch 49/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.6010\n",
      "Epoch 50/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.6007\n",
      "learning rate = 0.1\n",
      "Epoch 1/50\n",
      "2730/2730 [==============================] - 0s 92us/step - loss: 0.5999\n",
      "Epoch 2/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5998\n",
      "Epoch 3/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5997\n",
      "Epoch 4/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5997\n",
      "Epoch 5/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5996\n",
      "Epoch 6/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5996\n",
      "Epoch 7/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5995\n",
      "Epoch 8/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5995\n",
      "Epoch 9/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5995\n",
      "Epoch 10/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5994\n",
      "Epoch 11/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5994\n",
      "Epoch 12/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5994\n",
      "Epoch 13/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5993\n",
      "Epoch 14/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.5993\n",
      "Epoch 15/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5993\n",
      "Epoch 16/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.5992\n",
      "Epoch 17/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5992\n",
      "Epoch 18/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.5992\n",
      "Epoch 19/50\n",
      "2730/2730 [==============================] - 0s 55us/step - loss: 0.5991\n",
      "Epoch 20/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5991\n",
      "Epoch 21/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5991\n",
      "Epoch 22/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5990\n",
      "Epoch 23/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5990\n",
      "Epoch 24/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5990\n",
      "Epoch 25/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.5989\n",
      "Epoch 26/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5989\n",
      "Epoch 27/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5989\n",
      "Epoch 28/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5989\n",
      "Epoch 29/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.5988\n",
      "Epoch 30/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5988\n",
      "Epoch 31/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5988\n",
      "Epoch 32/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.5987\n",
      "Epoch 33/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.5987\n",
      "Epoch 34/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5987\n",
      "Epoch 35/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5986\n",
      "Epoch 36/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5986\n",
      "Epoch 37/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5986\n",
      "Epoch 38/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5985\n",
      "Epoch 39/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5985\n",
      "Epoch 40/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5985\n",
      "Epoch 41/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5984\n",
      "Epoch 42/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5984\n",
      "Epoch 43/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5984\n",
      "Epoch 44/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5984\n",
      "Epoch 45/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5983\n",
      "Epoch 46/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.5983\n",
      "Epoch 47/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.5983\n",
      "Epoch 48/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5982\n",
      "Epoch 49/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5982\n",
      "Epoch 50/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5982\n",
      "learning rate = 0.01\n",
      "Epoch 1/50\n",
      "2730/2730 [==============================] - 0s 98us/step - loss: 0.5981\n",
      "Epoch 2/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5981\n",
      "Epoch 3/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5981\n",
      "Epoch 4/50\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5981\n",
      "Epoch 5/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5981\n",
      "Epoch 6/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5981\n",
      "Epoch 7/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5981\n",
      "Epoch 8/50\n",
      "2730/2730 [==============================] - 0s 55us/step - loss: 0.5981\n",
      "Epoch 9/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5981\n",
      "Epoch 10/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.5981\n",
      "Epoch 11/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5981\n",
      "Epoch 12/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5981\n",
      "Epoch 13/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5981\n",
      "Epoch 14/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5981\n",
      "Epoch 15/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5980\n",
      "Epoch 16/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5980\n",
      "Epoch 17/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5980\n",
      "Epoch 18/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5980\n",
      "Epoch 19/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5980\n",
      "Epoch 20/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5980\n",
      "Epoch 21/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5980\n",
      "Epoch 22/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5980\n",
      "Epoch 23/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5980\n",
      "Epoch 24/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5980\n",
      "Epoch 25/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5980\n",
      "Epoch 26/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5980\n",
      "Epoch 27/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5980\n",
      "Epoch 28/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5980\n",
      "Epoch 29/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5980\n",
      "Epoch 30/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5980\n",
      "Epoch 31/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.5980\n",
      "Epoch 32/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5980\n",
      "Epoch 33/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5980\n",
      "Epoch 34/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5980\n",
      "Epoch 35/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5980\n",
      "Epoch 36/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5980\n",
      "Epoch 37/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5980\n",
      "Epoch 38/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5980\n",
      "Epoch 39/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5980\n",
      "Epoch 40/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.5980\n",
      "Epoch 41/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.5980\n",
      "Epoch 42/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5980\n",
      "Epoch 43/50\n",
      "2730/2730 [==============================] - 0s 55us/step - loss: 0.5980\n",
      "Epoch 44/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5980\n",
      "Epoch 45/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5980\n",
      "Epoch 46/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5980\n",
      "Epoch 47/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5980\n",
      "Epoch 48/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 49/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 50/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "learning rate = 0.001\n",
      "Epoch 1/50\n",
      "2730/2730 [==============================] - 0s 124us/step - loss: 0.5979\n",
      "Epoch 2/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 3/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "Epoch 4/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5979\n",
      "Epoch 5/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 6/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 7/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 8/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "Epoch 9/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5979\n",
      "Epoch 10/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 11/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 12/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 13/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "Epoch 14/50\n",
      "2730/2730 [==============================] - 0s 55us/step - loss: 0.5979\n",
      "Epoch 15/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 16/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 17/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 18/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 19/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 20/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5979\n",
      "Epoch 21/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 22/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 23/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "Epoch 24/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 25/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5979\n",
      "Epoch 26/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 27/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 28/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 29/50\n",
      "2730/2730 [==============================] - 0s 54us/step - loss: 0.5979\n",
      "Epoch 30/50\n",
      "2730/2730 [==============================] - 0s 55us/step - loss: 0.5979\n",
      "Epoch 31/50\n",
      "2730/2730 [==============================] - 0s 55us/step - loss: 0.5979\n",
      "Epoch 32/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5979\n",
      "Epoch 33/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "Epoch 34/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 35/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 36/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 37/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 38/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.5979\n",
      "Epoch 39/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 40/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 41/50\n",
      "2730/2730 [==============================] - 0s 55us/step - loss: 0.5979\n",
      "Epoch 42/50\n",
      "2730/2730 [==============================] - 0s 55us/step - loss: 0.5979\n",
      "Epoch 43/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "Epoch 44/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 45/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5979\n",
      "Epoch 46/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 47/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 48/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "Epoch 49/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 50/50\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "learning rate = 0.0001\n",
      "Epoch 1/50\n",
      "2730/2730 [==============================] - 0s 103us/step - loss: 0.5979\n",
      "Epoch 2/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 3/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 4/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 5/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "Epoch 6/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 7/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 8/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5979\n",
      "Epoch 9/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 10/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 11/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 12/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 13/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 14/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.5979\n",
      "Epoch 15/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 16/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 17/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 18/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 19/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "Epoch 20/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5979\n",
      "Epoch 21/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5979\n",
      "Epoch 22/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 23/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 24/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5979\n",
      "Epoch 25/50\n",
      "2730/2730 [==============================] - 0s 55us/step - loss: 0.5979\n",
      "Epoch 26/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.5979\n",
      "Epoch 27/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.5979\n",
      "Epoch 28/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.5979\n",
      "Epoch 29/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 30/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5979\n",
      "Epoch 31/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 32/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.5979\n",
      "Epoch 33/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 34/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 35/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 36/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 37/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 38/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 39/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 40/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "Epoch 41/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5979\n",
      "Epoch 42/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 43/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 44/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 45/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5979\n",
      "Epoch 46/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 47/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 48/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.5979\n",
      "Epoch 49/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 50/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "learning rate = 1e-05\n",
      "Epoch 1/50\n",
      "2730/2730 [==============================] - 0s 114us/step - loss: 0.5979\n",
      "Epoch 2/50\n",
      "2730/2730 [==============================] - 0s 67us/step - loss: 0.5979\n",
      "Epoch 3/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.5979\n",
      "Epoch 4/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 5/50\n",
      "2730/2730 [==============================] - 0s 68us/step - loss: 0.5979\n",
      "Epoch 6/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.5979\n",
      "Epoch 7/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5979\n",
      "Epoch 8/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5979\n",
      "Epoch 9/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 10/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "Epoch 11/50\n",
      "2730/2730 [==============================] - 0s 64us/step - loss: 0.5979\n",
      "Epoch 12/50\n",
      "2730/2730 [==============================] - 0s 66us/step - loss: 0.5979\n",
      "Epoch 13/50\n",
      "2730/2730 [==============================] - 0s 67us/step - loss: 0.5979\n",
      "Epoch 14/50\n",
      "2730/2730 [==============================] - 0s 62us/step - loss: 0.5979\n",
      "Epoch 15/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 16/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 17/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5979\n",
      "Epoch 18/50\n",
      "2730/2730 [==============================] - ETA: 0s - loss: 0.599 - 0s 59us/step - loss: 0.5979\n",
      "Epoch 19/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 20/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 21/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.5979\n",
      "Epoch 22/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "Epoch 23/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 24/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 25/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 26/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 27/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5979\n",
      "Epoch 28/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 29/50\n",
      "2730/2730 [==============================] - 0s 67us/step - loss: 0.5979\n",
      "Epoch 30/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5979\n",
      "Epoch 31/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 32/50\n",
      "2730/2730 [==============================] - 0s 61us/step - loss: 0.5979\n",
      "Epoch 33/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 34/50\n",
      "2730/2730 [==============================] - 0s 59us/step - loss: 0.5979\n",
      "Epoch 35/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "Epoch 36/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5979\n",
      "Epoch 37/50\n",
      "2730/2730 [==============================] - 0s 56us/step - loss: 0.5979\n",
      "Epoch 38/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Epoch 39/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 40/50\n",
      "2730/2730 [==============================] - 0s 57us/step - loss: 0.5979\n",
      "Epoch 41/50\n",
      "2730/2730 [==============================] - 0s 67us/step - loss: 0.5979\n",
      "Epoch 42/50\n",
      "2730/2730 [==============================] - 0s 67us/step - loss: 0.5979\n",
      "Epoch 43/50\n",
      "2730/2730 [==============================] - 0s 63us/step - loss: 0.5979\n",
      "Epoch 44/50\n",
      "2730/2730 [==============================] - 0s 65us/step - loss: 0.5979\n",
      "Epoch 45/50\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2730/2730 [==============================] - 0s 67us/step - loss: 0.5979\n",
      "Epoch 46/50\n",
      "2730/2730 [==============================] - 0s 67us/step - loss: 0.5979\n",
      "Epoch 47/50\n",
      "2730/2730 [==============================] - 0s 67us/step - loss: 0.5979\n",
      "Epoch 48/50\n",
      "2730/2730 [==============================] - 0s 60us/step - loss: 0.5979\n",
      "Epoch 49/50\n",
      "2730/2730 [==============================] - 0s 68us/step - loss: 0.5979\n",
      "Epoch 50/50\n",
      "2730/2730 [==============================] - 0s 58us/step - loss: 0.5979\n",
      "Pretraining time is 70.26705884933472\n",
      "Pretrained weights are saved to paul_result /ae_weights.h5\n",
      "...number of clusters is unknown, Initialize cluster centroid using louvain method\n",
      "The value of delta_label of current 1 th iteration is 0.10622710622710622 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 80us/step - loss: 0.0692\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.0632\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.0578\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.0539\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.0510\n",
      "The value of delta_label of current 2 th iteration is 0.10402930402930403 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.0929\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.0875\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.0830\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.0794\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 28us/step - loss: 0.0763\n",
      "The value of delta_label of current 3 th iteration is 0.07582417582417582 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.1120\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.1072\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.1029\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 32us/step - loss: 0.0991\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.0958\n",
      "The value of delta_label of current 4 th iteration is 0.04542124542124542 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 31us/step - loss: 0.1276\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 31us/step - loss: 0.1228\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 31us/step - loss: 0.1181\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1140\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1100\n",
      "The value of delta_label of current 5 th iteration is 0.034432234432234435 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 28us/step - loss: 0.1421\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1368\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 31us/step - loss: 0.1316\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.1268\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.1222\n",
      "The value of delta_label of current 6 th iteration is 0.01684981684981685 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 32us/step - loss: 0.1563\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.1504\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.1445\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 33us/step - loss: 0.1391\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 32us/step - loss: 0.1339\n",
      "The value of delta_label of current 7 th iteration is 0.01684981684981685 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1699\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1634\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.1570\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 28us/step - loss: 0.1509\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1452\n",
      "The value of delta_label of current 8 th iteration is 0.012087912087912088 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1825\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 31us/step - loss: 0.1754\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1685\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1619\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1557\n",
      "The value of delta_label of current 9 th iteration is 0.01098901098901099 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 31us/step - loss: 0.1933\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 34us/step - loss: 0.1857\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1783\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 32us/step - loss: 0.1712\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1646\n",
      "The value of delta_label of current 10 th iteration is 0.007692307692307693 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.2020\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1941\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.1865\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1791\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 28us/step - loss: 0.1724\n",
      "The value of delta_label of current 11 th iteration is 0.005494505494505495 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 30us/step - loss: 0.2083\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.2004\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1927\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1854\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 29us/step - loss: 0.1787\n",
      "delta_label  0.004395604395604396 < tol  0.005\n",
      "Reached tolerance threshold. Stop training.\n",
      "The final prediction cluster is:\n",
      "0    564\n",
      "1    142\n",
      "2    409\n",
      "3    449\n",
      "4    821\n",
      "5    199\n",
      "6     85\n",
      "7     33\n",
      "8     28\n",
      "dtype: int64\n",
      "The desc has been trained successfully!!!!!!\n",
      "The summary of desc model is:\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input (InputLayer)           (None, 1000)              0         \n",
      "_________________________________________________________________\n",
      "encoder_0 (Dense)            (None, 64)                64064     \n",
      "_________________________________________________________________\n",
      "encoder_1 (Dense)            (None, 32)                2080      \n",
      "_________________________________________________________________\n",
      "clustering (ClusteringLayer) (None, 9)                 288       \n",
      "=================================================================\n",
      "Total params: 66,432\n",
      "Trainable params: 66,432\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "The runtime of (resolution=0.8)is: 80.03761744499207\n",
      "WARNING: Consider installing the package MulticoreTSNE (https://github.com/DmitryUlyanov/Multicore-TSNE). Even for n_jobs=1 this speeds up the computation considerably and might yield better converged results.\n",
      "Start to process resolution= 1.0\n",
      "The number of cpu in your computer is 12\n",
      "Checking whether paul_result/ae_weights,h5  exists in the directory\n",
      "Pretraining time is 0.21967625617980957\n",
      "...number of clusters is unknown, Initialize cluster centroid using louvain method\n",
      "The value of delta_label of current 1 th iteration is 0.1468864468864469 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 120us/step - loss: 0.0694\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 38us/step - loss: 0.0641\n",
      "Epoch 3/5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2730/2730 [==============================] - 0s 37us/step - loss: 0.0593\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 36us/step - loss: 0.0555\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 34us/step - loss: 0.0526\n",
      "The value of delta_label of current 2 th iteration is 0.08241758241758242 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 36us/step - loss: 0.0912\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 36us/step - loss: 0.0866\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 39us/step - loss: 0.0825\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 35us/step - loss: 0.0791\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 36us/step - loss: 0.0762\n",
      "The value of delta_label of current 3 th iteration is 0.05531135531135531 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 36us/step - loss: 0.1090\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 37us/step - loss: 0.1049\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 34us/step - loss: 0.1011\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 35us/step - loss: 0.0977\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 35us/step - loss: 0.0945\n",
      "The value of delta_label of current 4 th iteration is 0.039194139194139194 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 38us/step - loss: 0.1240\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 37us/step - loss: 0.1198\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 40us/step - loss: 0.1158\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 43us/step - loss: 0.1120\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 39us/step - loss: 0.1084\n",
      "The value of delta_label of current 5 th iteration is 0.02197802197802198 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 33us/step - loss: 0.1385\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 43us/step - loss: 0.1339\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 40us/step - loss: 0.1294\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 35us/step - loss: 0.1251\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 34us/step - loss: 0.1210\n",
      "The value of delta_label of current 6 th iteration is 0.019413919413919414 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 34us/step - loss: 0.1532\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 41us/step - loss: 0.1480\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 39us/step - loss: 0.1429\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 36us/step - loss: 0.1380\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 34us/step - loss: 0.1333\n",
      "The value of delta_label of current 7 th iteration is 0.010256410256410256 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 32us/step - loss: 0.1680\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 34us/step - loss: 0.1621\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 37us/step - loss: 0.1564\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 34us/step - loss: 0.1509\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 37us/step - loss: 0.1456\n",
      "The value of delta_label of current 8 th iteration is 0.015384615384615385 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 40us/step - loss: 0.1824\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 35us/step - loss: 0.1759\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 39us/step - loss: 0.1696\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 36us/step - loss: 0.1635\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 36us/step - loss: 0.1577\n",
      "The value of delta_label of current 9 th iteration is 0.010256410256410256 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 36us/step - loss: 0.1956\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 37us/step - loss: 0.1886\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 35us/step - loss: 0.1817\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 39us/step - loss: 0.1751\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 35us/step - loss: 0.1689\n",
      "The value of delta_label of current 10 th iteration is 0.007692307692307693 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 33us/step - loss: 0.2073\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 38us/step - loss: 0.1998\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 36us/step - loss: 0.1925\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 34us/step - loss: 0.1855\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 36us/step - loss: 0.1790\n",
      "The value of delta_label of current 11 th iteration is 0.008791208791208791 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 33us/step - loss: 0.2170\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 35us/step - loss: 0.2093\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 36us/step - loss: 0.2017\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 37us/step - loss: 0.1945\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 35us/step - loss: 0.1878\n",
      "The value of delta_label of current 12 th iteration is 0.00695970695970696 >= tol 0.005\n",
      "Epoch 1/5\n",
      "2730/2730 [==============================] - 0s 37us/step - loss: 0.2245\n",
      "Epoch 2/5\n",
      "2730/2730 [==============================] - 0s 34us/step - loss: 0.2166\n",
      "Epoch 3/5\n",
      "2730/2730 [==============================] - 0s 35us/step - loss: 0.2091\n",
      "Epoch 4/5\n",
      "2730/2730 [==============================] - 0s 35us/step - loss: 0.2021\n",
      "Epoch 5/5\n",
      "2730/2730 [==============================] - 0s 35us/step - loss: 0.1953\n",
      "delta_label  0.0029304029304029304 < tol  0.005\n",
      "Reached tolerance threshold. Stop training.\n",
      "The final prediction cluster is:\n",
      "0    513\n",
      "1    142\n",
      "2    827\n",
      "3    372\n",
      "4    393\n",
      "5    256\n",
      "6     86\n",
      "7     80\n",
      "8     33\n",
      "9     28\n",
      "dtype: int64\n",
      "The desc has been trained successfully!!!!!!\n",
      "The summary of desc model is:\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input (InputLayer)           (None, 1000)              0         \n",
      "_________________________________________________________________\n",
      "encoder_0 (Dense)            (None, 64)                64064     \n",
      "_________________________________________________________________\n",
      "encoder_1 (Dense)            (None, 32)                2080      \n",
      "_________________________________________________________________\n",
      "clustering (ClusteringLayer) (None, 10)                320       \n",
      "=================================================================\n",
      "Total params: 66,464\n",
      "Trainable params: 66,464\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "The runtime of (resolution=1.0)is: 9.010281085968018\n",
      "WARNING: Consider installing the package MulticoreTSNE (https://github.com/DmitryUlyanov/Multicore-TSNE). Even for n_jobs=1 this speeds up the computation considerably and might yield better converged results.\n",
      "The run time for all resolution is: 160.78999590873718\n",
      "After training, the information of adata is:\n",
      " AnnData object with n_obs × n_vars = 2730 × 1000 \n",
      "    obs: 'paul15_clusters', 'celltype', 'celltype2', 'desc_0.8', 'desc_1.0'\n",
      "    var: 'means', 'dispersions', 'dispersions_norm'\n",
      "    uns: 'prob_matrix1.0', 'prob_matrix0.8', 'iroot'\n",
      "    obsm: 'X_Embeded_z0.8', 'X_tsne', 'X_tsne0.8', 'X_Embeded_z1.0', 'X_tsne1.0'\n"
     ]
    }
   ],
   "source": [
    "sc.pp.log1p(adata)\n",
    "sc.pp.filter_genes_dispersion(adata,n_top_genes=1000)\n",
    "sc.pp.scale(adata,max_value=6)\n",
    "save_dir=\"paul_result\"\n",
    "adata=desc.train(adata,\n",
    "        dims=[adata.shape[1],64,32],\n",
    "        tol=0.005,\n",
    "        n_neighbors=10,\n",
    "        batch_size=256,\n",
    "        louvain_resolution=[0.8,1.0],# not necessarily a list, you can only set one value, like, louvain_resolution=1.0\n",
    "        save_dir=str(save_dir),\n",
    "        do_tsne=True,\n",
    "        learning_rate=200, # the parameter of tsne\n",
    "        use_GPU=False,\n",
    "        num_Cores=1, #for reproducible, only use 1 cpu\n",
    "        num_Cores_tsne=4,\n",
    "        save_encoder_weights=False,\n",
    "        save_encoder_step=3,# save_encoder_weights is False, this parameter is not used\n",
    "        use_ae_weights=False,\n",
    "        do_umap=False) #if do_uamp is False, it will don't compute umap coordiate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 2730 × 1000 \n",
       "    obs: 'paul15_clusters', 'celltype', 'celltype2', 'desc_0.8', 'desc_1.0'\n",
       "    var: 'means', 'dispersions', 'dispersions_norm'\n",
       "    uns: 'prob_matrix1.0', 'prob_matrix0.8', 'iroot'\n",
       "    obsm: 'X_Embeded_z0.8', 'X_tsne', 'X_tsne0.8', 'X_Embeded_z1.0', 'X_tsne1.0'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#After training from desc, the results have been saved in `save_dir`\n",
    "#adata=sc.read(\"paul_result/adata_desc.h5ad\")\n",
    "adata\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. The meta.data of each cell has been saved in `adata.obs`, \n",
    "2. the representation from `desc` of each cell have been saved in `adata.obsm`('X_Embeded_z1.0')\n",
    "3. The dimension reduction from `desc` of each cell have beed saved in `adata.obsm`('X_tsne1.0')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Computing maxmum probability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata.obs['max.prob']=adata.uns[\"prob_matrix1.0\"].max(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# t-SNE plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "... storing 'celltype' as categorical\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1146.96x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 288,
       "width": 1002
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.scatter(adata,basis=\"tsne1.0\",color=['desc_1.0','max.prob'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1146.96x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 288,
       "width": 1123
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.scatter(adata,basis=\"tsne1.0\",color=['celltype','celltype2'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# reference"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Paul F, Arkin Y, Giladi A, Jaitin DA et al. Transcriptional heterogeneity and lineage commitment in myeloid progenitors. Cell, 163:1663-167 (2015)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (DESCVIR)",
   "language": "python",
   "name": "descvir"
  },
  "language_info": {
   "codemirror_mode": {
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