Basics of Deep Learning: Backpropagation by Byoungsung Lim

We make predictions on X on Line 155 and then compute the sum squared error on Line 156. The loss is then returned to the calling function on Line 159. This process is repeated until we reach the first layer in the network. The algorithm is used to effectively train a neural network through a …

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