Hands-On One-shot Learning with Python

Architecture of the LSTM meta-learner

If we look into the update method of gradient descent, we will see an equation like this:

Here, is the parameter at time step t, is the gradient of loss at t, and is the learning rate at time t.

A cell update equation of an LSTM cell, on the other hand, looks something like this:

This update looks very similar ...