Build a 2D convolutional neural network, part 6: Examples of successes and failures

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Put all the pieces together implementing a two dimensional convolutional neural network in Python to classify handwritten digits from the MNIST data set.

The remainder of the course dives into the implementation in detail and shows how to extend this example to the more challenging CIFAR-10 data set.
  1. Brandon Rohrer
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