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Artificial Intelligence with Python Cookbook

You're reading from   Artificial Intelligence with Python Cookbook Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781789133967
Length 468 pages
Edition 1st Edition
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Authors (2):
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Ritesh Kumar Ritesh Kumar
Author Profile Icon Ritesh Kumar
Ritesh Kumar
Ben Auffarth Ben Auffarth
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Ben Auffarth
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Artificial Intelligence in Python 2. Advanced Topics in Supervised Machine Learning FREE CHAPTER 3. Patterns, Outliers, and Recommendations 4. Probabilistic Modeling 5. Heuristic Search Techniques and Logical Inference 6. Deep Reinforcement Learning 7. Advanced Image Applications 8. Working with Moving Images 9. Deep Learning in Audio and Speech 10. Natural Language Processing 11. Artificial Intelligence in Production 12. Other Books You May Enjoy

Technical requirements

You really should have a GPU available in order to run some of the recipes in this book, or you would better off using Google Colab. There are some extra steps required to make sure you have the correct NVIDIA graphics drivers installed, along with some additional libraries. Google provides up-to-date instructions on the TensorFlow website at https://www.tensorflow.org/install/gpu. Similarly, PyTorch versions have minimum requirements for NVIDIA driver versions (which you'd have to check manually for each PyTorch version). Let's see how to use dockerized environments to help set this up.

You can find the recipes in this chapter in the GitHub repository of this book at https://github.com/PacktPublishing/Artificial-Intelligence-with-Python-Cookbook.

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