Skip to content

Latest commit

 

History

History
45 lines (36 loc) · 3.38 KB

README.md

File metadata and controls

45 lines (36 loc) · 3.38 KB
Raw

Tutorials using keras for Machine learning

Here I will add notebooks about how to use keras for training private datasets. This means, wild data that you own or are not a built-in function of other python library.

For the moment I have the following tutorials:

keras - StarCraft unit prediction from disk - FC.ipynb.

Added on 20180418.

Here you can see:

  • How to train a keras model using Fully Connected (FC) Layers. FC are also called multilayer perpectrons.
  • How to train images from disk (HDD) by batch. In order words, only load them into memory when training in a given batch.
  • How to train using manual features, in this case a histogram of all the channels of an image.

Keras - StarCraft Unit Classification from disk.ipynb.

Added on 20180419.

Here you can see:

  • how to train an image classification model using Convolutional Neural Networks (CNN).
  • how to train using images inside a zip file, by batch. In order words, only load them into memory when training in a given batch, without unziping all the content of the zip file.
  • how to save and restore a keras model.

VGG annotator: Extract data from json export for image localization

Added on 20180428.

Here you can see:

  • How to annotate the position of an object in a group of images for a further object localization process.
  • How to use the VGG annotator tool for this purpose.
  • How to export the metadata that holds the position of the objects as a JSON file.
  • How to extract the data from the JSON file into a usable format, a pandas DataFrame.
    You can see the process here: https://youtu.be/MRkdgOoUqFk

Use your keras model in javascript for image classification

Added on 20180428

This is an example of a html file alone that shows how to use a keras model, transformed using the tensorflow.js tool, for prediction of a Star craft 2 unit. Here you can see:

  • How to load the tensorflow.js
  • How to load your model (model.js)
  • How to upload an image and change its format so you can feed it into the keras trained model.

Important: In order to make it work you need to place the model into a web server, just your browser is not enough.

See the output of a Convolutional Neural Network layer with Keras

Added on 20190314

In this notebook you will see how to get the output of a CNN keras model. As an example I picked up the Yolov3 model architecture and showed the last layers output as an image.

base64 encoding and decoding

Added on 20190815

This small tutorial shows how to use base64 to store an image as a string inside a json string and then recover it for saving or processing with numpy.