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Hands-On Deep Learning Algorithms with Python

You're reading from   Hands-On Deep Learning Algorithms with Python Master deep learning algorithms with extensive math by implementing them using TensorFlow

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Product type Paperback
Published in Jul 2019
Publisher Packt
ISBN-13 9781789344158
Length 512 pages
Edition 1st Edition
Languages
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Author (1):
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Sudharsan Ravichandiran Sudharsan Ravichandiran
Author Profile Icon Sudharsan Ravichandiran
Sudharsan Ravichandiran
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Getting Started with Deep Learning FREE CHAPTER
2. Introduction to Deep Learning 3. Getting to Know TensorFlow 4. Section 2: Fundamental Deep Learning Algorithms
5. Gradient Descent and Its Variants 6. Generating Song Lyrics Using RNN 7. Improvements to the RNN 8. Demystifying Convolutional Networks 9. Learning Text Representations 10. Section 3: Advanced Deep Learning Algorithms
11. Generating Images Using GANs 12. Learning More about GANs 13. Reconstructing Inputs Using Autoencoders 14. Exploring Few-Shot Learning Algorithms 15. Assessments 16. Other Books You May Enjoy

Section 1: Getting Started with Deep Learning

In this section, we will get ourselves familiarized with deep learning and will understand the fundamental deep learning concepts. We will also learn about powerful deep learning framework called TensorFlow, and set TensorFlow up for all of our future deep learning tasks.

The following chapters are included in this section:

  • Chapter 1, Introduction to Deep Learning
  • Chapter 2, Getting to Know TensorFlow
You have been reading a chapter from
Hands-On Deep Learning Algorithms with Python
Published in: Jul 2019
Publisher: Packt
ISBN-13: 9781789344158
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