A convolutional neural network-based classifier for the MNIST handwritten digit dataset with Tensorflow

the model we're going to work out in this example is:

Model_1 link

Input -> CONV (-> ReLU -> Pool) -> FC -> ReLU -> FC -> Softmax -> Loss
Accuracy = 99.07 %

Input -> CONV (-> RELU -> Pool) -> CONV (-> RELU -> Pool) -> FC -> ReLU -> Dropout -> FC -> Softmax -> Loss Accuracy = 99.25 %

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README.md		README.md
model_1.ipynb		model_1.ipynb
model_2.ipynb		model_2.ipynb