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Deep Learning By Example

You're reading from Deep Learning By Example A hands-on guide to implementing advanced machine learning algorithms and neural networks

Product type Paperback

Published in Feb 2018

Publisher Packt

ISBN-13 9781788399906

Length 450 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Author (1):

Ahmed Menshawy

View More author details

Table of Contents (18) Chapters

Preface

1. Data Science - A Birds' Eye View FREE CHAPTER

2. Data Modeling in Action - The Titanic Example

3. Feature Engineering and Model Complexity – The Titanic Example Revisited

4. Get Up and Running with TensorFlow

5. TensorFlow in Action - Some Basic Examples

6. Deep Feed-forward Neural Networks - Implementing Digit Classification

7. Introduction to Convolutional Neural Networks

8. Object Detection – CIFAR-10 Example

9. Object Detection – Transfer Learning with CNNs

10. Recurrent-Type Neural Networks - Language Modeling

11. Representation Learning - Implementing Word Embeddings

12. Neural Sentiment Analysis

13. Autoencoders – Feature Extraction and Denoising

14. Generative Adversarial Networks

15. Face Generation and Handling Missing Labels

16. Implementing Fish Recognition

Code for fish recognition

17. Other Books You May Enjoy

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Summary

In this chapter, we introduced a totally new architecture that can be used for many interesting applications. Autoencoders are very flexible, so feel free to come up with your own problem in the area of image enhancement, colorization, or construction. Also, there are more variations of autoencoders, called variational autoencoders. They are also used for very interesting applications, such as image generation.

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Authors (1)

Menshawy

Menshawy

Ahmed Menshawy is a Research Engineer at the Trinity College Dublin, Ireland. He has more than 5 years of working experience in the area of ML and NLP. He holds an MSc in Advanced Computer Science. He started his Career as a Teaching Assistant at the Department of Computer Science, Helwan University, Cairo, Egypt. He taught several advanced ML and NLP courses such as ML, Image Processing, and so on. He was involved in implementing the state-of-the-art system for Arabic Text to Speech. He was the main ML specialist at the Industrial research and development lab at IST Networks, based in Egypt.

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