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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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Chapter 2 - Getting to Know TensorFlow

Every computation in TensorFlow is represented by a computational graph. It consists of several nodes and edges, where nodes are the mathematical operations, such as addition, multiplication, and so on, and edges are the tensors. A computational graph is very efficient in optimizing resources and it also promotes distributed computing.
A computational graph with the operations on the node and tensors to its edges will only be created, and in order to execute the graph, we use a TensorFlow session.
A TensorFlow session can be created using tf.Session(), and it will allocate the memory for storing the current value of the variable.
Variables are the containers used to store values. Variables will be used as input to several other operations in the computational graph. We can think of placeholders as variables, where we only define the type...

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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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