The first question I had to answer was: why is backward differentiation necessary at all? In a neural network, the loss is computed at the very end of the forward pass. To update the weights, we need ...
Convolutional Neural Network 1. Learn how to use a Convolutional Neural Network to classify handwritten digits from the MNIST database 2. Learn how to reshape the images to make them faster to process ...
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