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Python Deep Learning - Second Edition
book

Python Deep Learning - Second Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
January 2019
Intermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

Introduction to PyTorch

In this section, we'll introduce PyTorch, version 1.0. PyTorch is an open source python deep learning framework, developed primarily by Facebook that has been gaining momentum recently. It provides the Graphics Processing Unit (GPU), an accelerated multidimensional array (or tensor) operation, and computational graphs, which we can be used to build neural networks. Throughout this book, we'll use PyTorch, TensorFlow, and Keras, and we'll talk in detail about these libraries and compare them in Chapter 3, Deep Learning Fundamentals.

The steps are as follows:

  1. Let's create a simple neural network that will classify the Iris flower dataset. The following is the code block for creating a simple neural network:
import ...
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Publisher Resources

ISBN: 9781789348460Supplemental Content