April 2020
Beginner to intermediate
156 pages
4h 47m
English
Content preview from Hands-On One-shot Learning with Python
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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 ...
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