Recurrent Nets: (a) What is the “vanishing or exploding gradient problem” in recurrent nets? (b) Give...

Recurrent Nets:

(a) What is the “vanishing or exploding gradient problem” in recurrent nets?

(b) Give a weight initialization method that can mitigate the vanishing or exploding gradient problem.

(c) Recurrent nets are notoriously bad at “remembering” things for more than a few iterations. Give the names and quick descriptions of two methods that augment RNNs with a memory.

Expert Solution

Answers are given assuming that reader is familiar with the concept of neural network, weight, bias, activation functions,forward and backward propagation etc.

Thank you!

Colby Messinger answered 2 years ago

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