December 2017
Intermediate to advanced
536 pages
14h 23m
English
Content preview from TensorFlow 1.x Deep Learning Cookbook
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Getting ready
Declaring a loss function requires defining the coefficients as variables and the dataset as placeholders. One can have a constant learning rate or changing learning rate and regularization constant. In the following code, let m be the number of samples, n the number of features, and P the number of classes. We should define these global parameters before the code:
m = 1000n = 15P = 2
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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.