July 2018
Beginner to intermediate
406 pages
9h 55m
English
book
Building Machine Learning Systems with Python - Third Edition
by Luis Pedro Coelho, Willi Richert, Matthieu Brucher
Content preview from Building Machine Learning Systems with Python - Third Edition
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Regression with TensorFlow
We will dive into TensorFlow in a future chapter, but regularized linear regression can be implemented with it, so it's good idea to get a feel for how TensorFlow works.
Details on how TensorFlow is structured will be tackled in Chapter 8, Artificial Neural Networks and Deep Learning. Some of its scaffolding may seem odd, and there will be lots of magic numbers. Still, we will progressively use more of it for some small examples.
Let's try to use the Boston dataset for this experiment.
import tensorflow as tf
TensorFlow requires you to create symbols for all elements it works on. These can be variables or placeholders. The former are symbols that TensorFlow will change, whereas placeholders are externally imposed ...
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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.