Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow [E-Book] / Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca.
With the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you'll explore deep learning, and learn how to put machine learning to use in your pro...
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Full text |
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Personal Name(s): | Vasilev, Ivan, author |
Roelants, Peter, author / Slater, Daniel, author / Spacagna, Gianmario, author / Zocca, Valentino, author | |
Edition: |
2nd edition |
Imprint: |
[Birmingham] :
Packt Publishing,
2019
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Physical Description: |
379 pages (online resource) |
Note: |
englisch |
ISBN: |
9781789349702 9781789348460 |
Subject (ZB): | |
Subject (LOC): | |
Classification: |
- Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
- Contributors
- Table of Contents
- Preface
- Chapter 1: Machine Learning - an Introduction
- Chapter 2: Neural Networks
- Chapter 3: Deep Learning Fundamentals
- Chapter 4: Computer Vision with Convolutional Networks
- Chapter 5: Advanced Computer Vision
- Chapter 6: Generating Images with GANs and VAEs
- Chapter 7: Recurrent Neural Networks and Language Models
- Chapter 8: Reinforcement Learning Theory
- Chapter 9: Deep Reinforcement Learning for Games
- Chapter 10: Deep Learning in Autonomous Vehicles
- Other Books You May Enjoy
- Index.