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You're reading from Deep Learning with TensorFlow Explore neural networks with Python

Product type Paperback

Published in Apr 2017

Publisher Packt

ISBN-13 9781786469786

Length 320 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Authors (4):

Md. Rezaul Karim

Ahmed Menshawy

Giancarlo Zaccone

Fabrizio Milo

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Table of Contents (11) Chapters

Preface

1. Getting Started with Deep Learning FREE CHAPTER

2. First Look at TensorFlow

3. Using TensorFlow on a Feed-Forward Neural Network

4. TensorFlow on a Convolutional Neural Network

5. Optimizing TensorFlow Autoencoders

6. Recurrent Neural Networks

7. GPU Computing

8. Advanced TensorFlow Programming

9. Advanced Multimedia Programming with TensorFlow

10. Reinforcement Learning

Summary

TensorFlow is designed to make distributed machine and deep learning easy for everyone, but using it does require understanding some general principles and algorithms. Furthermore, the latest release of TensorFlow comes with lots of exciting features. Thus we also tried to cover them so that you can use them with ease. We have shown how to install TensorFlow on different platforms including Linux, Windows, and Mac OS. Before, covering this in even greater depth, we showed some example of how to upgrade the source code from the previous version of TensorFlow to the latest version 1.x.

In summary, here is a brief recap of the key concepts of TensorFlow explained in this chapter:

Graph: A TensorFlow computation is represented as dataflow graph. Each graph is built as a set of operations (http://www.tensorflow.org/api_docs/python/framework.html#Operation) objects.
Operation: Each Operation object represents...

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Authors (4)

Milo

Contacted on 04/07/2017 - Brendan Rodrigues

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Zaccone

Giancarlo Zaccone has over fifteen years' experience of managing research projects in the scientific and industrial domains. He is a software and systems engineer at the European Space Agency (ESTEC), where he mainly deals with the cybersecurity of satellite navigation systems. Giancarlo holds a master's degree in physics and an advanced master's degree in scientific computing. Giancarlo has already authored the following titles, available from Packt: Python Parallel Programming Cookbook (First Edition), Getting Started with TensorFlow, Deep Learning with TensorFlow (First Edition), and Deep Learning with TensorFlow (Second Edition).

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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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Karim

Md. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data mining algorithms to solve emerging bioinformatics research problems by making them explainable. He is passionate about applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI). Currently, he is working as a research scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a researcher at the Insight Centre for Data Analytics, Ireland. Previously, he worked as a lead software engineer at Samsung Electronics, Korea.

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