Cat or Dog

(Related XKCD Comic from 2014: https://www.explainxkcd.com/wiki/index.php/1425:_Tasks )

We will identify whether an image belongs to a Cat or a Dog. Unlike the Credit Card Default assignment, this data set is too large to process on the virtual machine, and you must use the GPU accelerated server.

You will be submitting your analysis to https://www.kaggle.com/c/dogs-vs-cats-redux-kernels-edition

Part 1: Resize All Images to 32x32 pixels. (You can generalize your code to also work on 64x64, which may have higher accuracy)

Part 2: Train your deep convolutional neural network (model.fit)
    Please use the MNIST and chars74k examples from class as a starting point.

Part 3: Submit your predictions (model.predict_classes) to Kaggle

I expect this assignment may take more than one week, since model run-times can sometimes take several hours. Please start with small model hyperparameters to test your python code before expanding the depth/width of your network.