A CNN for MNIST Dataset, the details could be found at http://www.aaronguan.com/CNNforMNIST.html
mainProcess.py: main processing for training and testing.
functionDef.py: simplifying the function: 2-D convolution, maximum pooling, bias and weight.
CNNLayers.py: defines the struture of the CNN: 1 input layer, 2 convolution layers and 2 fully-connected layers.
lossFunction.py: defines the loss function and the accuracy of the CNN.
main.py embedded the tesorboard visulization function.
log contains the output log of the program
summary contains the tensorboad visulization file
tensorboard --logdir= "path/to/log-directory"
Accuracy:
Loss:
