Question: Problem 7 . 1 1 Consider training a network with fifty layers, where we only have enough memory to store the pre - activations at

Problem

7.11

Consider training a network with fifty layers, where we only have enough memory to store the pre

-

activations at every tenth hidden layer during the forward pass. Explain how to compute the derivatives in this situation using gradient checkpointing.

Problem 7 . 1 1 Consider training a network with

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