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
Our goal is to predict the house price given in the last column (MEDV). In this recipe, we load the dataset from the TensorFlow Contrib dataset directly. We optimize the coefficients for an individual training sample using the stochastic gradient descent optimizer.
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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.