Implement the LeNet using tensorflow to recognize handwritten number. Training with MNIST. Some modifications here
- Training with MNIST set with image size 28 * 28. To match the size of LeNet, the first convolution layer applied padding.
- Using Relu instead of Sigmod as activation function.
- Applied dropout in the FC layer.
This net can get 99.1% correct rate on MNIST test set.
09/2020 update train.py, you can plot training accuracy and test accuracy.