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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

2. First Look at TensorFlow FREE CHAPTER

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

GPUs are specialized hardware components that were originally developed for graphics applications. However, it was realized that GPUs could be used to perform computations in a DNN architecture.

In the second part of this chapter, we saw how to install a GPU-enabled TensorFlow and how to manage GPU devices.

In the next chapter, we will discuss some advanced programming features using TensorFlow by integrating with other third-party tools such as, Keras, PrettyTensor and TFLearn. In addition, we’ll give an overview of some TensorFlow-based framework--Keras, PrettyTensor and TFLearn.

We'll show the main topics of these frameworks, with very interesting application examples.

The rest of the chapter is locked

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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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