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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

Product type Paperback

Published in Jul 2019

Publisher Packt

ISBN-13 9781789344158

Length 512 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Deep Learning

Author (1):

Sudharsan Ravichandiran

View More author details

Table of Contents (17) Chapters

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

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Further reading

Check out some of these cool projects on GitHub:

Human activity recognition using LSTM: https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition
Building a chatbot using seq2seq: https://github.com/tensorlayer/seq2seq-chatbot
Text summarization using a bidirectional GRU: https://github.com/harpribot/deep-summarization

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Authors (1)

Sudharsan Ravichandiran

Sudharsan Ravichandiran

Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.

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