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Python Deep Learning Cookbook

You're reading from Python Deep Learning Cookbook Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python

Product type Paperback

Published in Oct 2017

Publisher Packt

ISBN-13 9781787125193

Length 330 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Author (1):

den Bakker

View More author details

Table of Contents (21) Chapters

Title Page

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Programming Environments, GPU Computing, Cloud Solutions, and Deep Learning Frameworks FREE CHAPTER

2. Feed-Forward Neural Networks

3. Convolutional Neural Networks

4. Recurrent Neural Networks

5. Reinforcement Learning

6. Generative Adversarial Networks

7. Computer Vision

8. Natural Language Processing

9. Speech Recognition and Video Analysis

10. Time Series and Structured Data

11. Game Playing Agents and Robotics

12. Hyperparameter Selection, Tuning, and Neural Network Learning

13. Network Internals

14. Pretrained Models

Introduction

The focus of this chapter is on applications of deep learning in computer vision. Deep learning, especially Convolutional Neural Networks (CNNs), has the field of computer vision. Most benchmarks were beaten by the introduction of deeper CNNs, and some surpassed human-level accuracy for the first time. In this chapter, we will show different kinds of applications within vision. Next to CNNs, we will also be using recurrent neural networks (RNNs) in some of these recipes.

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Authors (1)

den Bakker

den Bakker

Indra den Bakker is an experienced deep learning engineer and mentor. He is the founder of 23insightspart of NVIDIA's Inception programa machine learning start-up building solutions that transform the worlds most important industries. For Udacity, he mentors students pursuing a Nanodegree in deep learning and related fields, and he is also responsible for reviewing student projects. Indra has a background in computational intelligence and worked for several years as a data scientist for IPG Mediabrands and Screen6 before founding 23insights.

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