Introduction to Deep Learning
eBook - PDF

Introduction to Deep Learning

  1. 231 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Introduction to Deep Learning

About this book

This book is designed to provide a comprehensive introduction to the field of deep learning, covering its foundational principles, techniques, and applications. It covers topics such as neural networks, convolutional networks, recurrent networks, and deep reinforcement learning. The content emphasizes both the theoretical concepts and practical implementations of deep learning models, providing insights into how these models are trained and applied to solve complex problems. Practical examples and hands-on exercises are included to help readers develop a solid understanding of deep learning techniques and their applications in various fields.

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Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. About the Author
  5. Table of Contents
  6. List of Figures
  7. Preface
  8. CHAPTER 1: INTRODUCTION TO DEEP LEARNING
  9. CHAPTER 2: DEEP NEURAL NETWORK MODELS
  10. CHAPTER 3: DEEP REINFORCEMENT LEARNING
  11. CHAPTER 4: CONVOLUTIONAL NEURAL NETWORKS
  12. CHAPTER 5: DEEP LEARNING WITH PYTORCH
  13. CHAPTER 6: GENERATIVE DEEP LEARNING
  14. CHAPTER 7: ADVANCED DEEP LEARNING TECHNIQUES
  15. CHAPTER 8: APPLICATIONS OF DEEP LEARNING
  16. INDEX
  17. Back Cover

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Yes, you can access Introduction to Deep Learning by Mauricio Alberto Ortega Ruiz in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.