Update README.md

README.md

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 # Tensorflow-Mobilenet
 Mobilenetv1 implemented by Tensorflow
+
+## 1. BG  
+As we all know, MobileNetv1 is a light framework neural network, it can be deployed in any mobile device. The full details in paper(https://arxiv.org/abs/1704.04861)  
+The final goal is to take MobileNet as backbone in YOLOv3. But it is diffucult to train from scratch, so a mobilenet pre_train weight is needed.  
+
+## 2. Quick Start  
+First, you will need a CiFar10 dataset:  
+1. Clone this repo  
+```
+$ git clone 
+```
+2. You will need a cifar10 dataset before train your model
+```
+$ wget http://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz
+```
+3. Into your repo and mkdir
+```
+$ cd Tensorflow-Mobilenet
+$ mkdir cifar
+then unzip you cifar10 dataset into cifar
+$ mkdir ckpt (for saved model)
+
+```
+After step mentioned above, your repo will looks like this:  
+```
+  Mobilnet:
+          cifar (your data)
+          ckpt (saved model ckpt)
+          train.py
+          freeze_graph.py
+          mobilenet.py
+          train.py
+```
+## 3. train your model  
+You are allowed to use command line to start training:
+```
+      The agrs are description below:
+        --lr            learing_rate from begin, and it will decay by 0.99
+        --batch_size    a mini_batch size depend on your GPU memory, a appropriate 
+```
+Here are two ways to train model, the first is to load pre_train model that i train on my Mac.
+```
+$ python3 train.py --lr 1e-3 --batch_size 16 --epochs 20 --load_pretrain 1
+```
+The second ways is to train your model from scratch
+```
+$ python3 train.py --lr 1e-3 --batch_size 16 --epochs 20 --load_pretrain 0
+```