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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 can find the source code for the notebooks associated with the recipes in this chapter on GitHub at https://github.com/PacktPublishing/Artificial-Intelligence-with-Python-Cookbook/tree/master/chapter09.

We'll use the librosa audio processing library (https://librosa.org/doc/latest/index.html) in this chapter, which you can install as follows:

!pip install librosa

Librosa comes installed by default in Colab.

For the recipes in this chapter, please make sure you have a GPU available. On Google Colab, make sure you activate a GPU runtime.

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