December 2017
Intermediate to advanced
536 pages
14h 23m
English
Content preview from TensorFlow 1.x Deep Learning Cookbook
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How it works...
You learned how to implement different types of loss functions. Depending on the regression task at hand, you can choose the corresponding loss function or design your own. It is also possible to combine L1 and L2 regularization in the loss term.
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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.