July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Gradients with respect to U
Let's calculate the gradients of loss with respect to hidden-to-input layer weights 
for all the gates and the candidate state. Computing gradients of loss with respect to is exactly the same as the gradients we computed with respect to 
, except that the last term will be 
instead of . Let's examine what we mean by that. ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.