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Python: Real World Machine Learning
book

Python: Real World Machine Learning

by Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti
November 2016
Beginner to intermediate
941 pages
21h 55m
English
Packt Publishing
Content preview from Python: Real World Machine Learning

Machine learning on TensorFlow with SkFlow

Now that we have seen the basic operations of TensorFlow, let's dive into the higher-level applications built on top of TensorFlow to make machine learning a little more practical. SkFlow is the first application that we will cover. In SkFlow, we don't have to specify types and placeholders. We can load and manage data in the same way that we would do with Scikit-learn and NumPy. Let's install the package with pip.

The safest way is to install the package from GitHub directly:

$ pip install git+git://github.com/tensorflow/skflow.git

SkFlow has three main classes of learning algorithms: linear classifiers, linear regression, and neural networks. A linear classifier is basically a simple SGD (multi) classifier, ...

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Publisher Resources

ISBN: 9781787123212Purchase Link