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Deep Learning for Beginners

You're reading from   Deep Learning for Beginners A beginner's guide to getting up and running with deep learning from scratch using Python

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781838640859
Length 432 pages
Edition 1st Edition
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Authors (2):
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Pablo Rivas Pablo Rivas
Author Profile Icon Pablo Rivas
Pablo Rivas
Dr. Pablo Rivas Dr. Pablo Rivas
Author Profile Icon Dr. Pablo Rivas
Dr. Pablo Rivas
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Getting Up to Speed
2. Introduction to Machine Learning FREE CHAPTER 3. Setup and Introduction to Deep Learning Frameworks 4. Preparing Data 5. Learning from Data 6. Training a Single Neuron 7. Training Multiple Layers of Neurons 8. Section 2: Unsupervised Deep Learning
9. Autoencoders 10. Deep Autoencoders 11. Variational Autoencoders 12. Restricted Boltzmann Machines 13. Section 3: Supervised Deep Learning
14. Deep and Wide Neural Networks 15. Convolutional Neural Networks 16. Recurrent Neural Networks 17. Generative Adversarial Networks 18. Final Remarks on the Future of Deep Learning 19. Other Books You May Enjoy

Learning with more resources from Packt

The following lists of books is not meant to be exhaustive, but a starting point for your next endeavor. These titles have come out at a great time when there is a lot of interest in the field. Regardless of your choice, you will not be disappointed.

Reinforcement learning

  • Deep Reinforcement Learning Hands-On - Second Edition, by Maxim Lapan, 2020.
  • The Reinforcement Learning Workshop, by Alessandro Palmas et al., 2020.
  • Hands-On Reinforcement Learning for Games, by Micheal Lanham, 2020.
  • PyTorch 1.x Reinforcement Learning Cookbook, by Yuxi Liu, 2019.
  • Python Reinforcement Learning, by Sudharsan Ravichandiran, 2019.
  • Reinforcement Learning Algorithms with Python, by Andrea Lonza, 2019.

Self-supervised learning

  • The Unsupervised Learning Workshop, by Aaron Jones et. al., 2020.
  • Applied Unsupervised Learning with Python, by Benjamin Johnston et. al., 2019.
  • Hands-On Unsupervised Learning with Python, by Giuseppe Bonaccorso, 2019.
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