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Lecture 16 - Coding Backpropagation building blocks in Python
In this lecture, we look at how to code the building blocks of backpropagation: - Taking gradients of loss function with respect to the layer inputs - Taking gradients of loss function with respect to the layer weights - Taking gradients of loss function with respect to the layer biases We implement everything from scratch: first through ...
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