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Deep Learning with TensorFlow

You're reading from  Deep Learning with TensorFlow

Product type Book
Published in Apr 2017
Publisher Packt
ISBN-13 9781786469786
Pages 320 pages
Edition 1st Edition
Languages
Authors (3):
Giancarlo Zaccone Giancarlo Zaccone
Profile icon Giancarlo Zaccone
Md. Rezaul Karim Md. Rezaul Karim
Profile icon Md. Rezaul Karim
Ahmed Menshawy Ahmed Menshawy
Profile icon Ahmed Menshawy
View More author details

Table of Contents (11) Chapters

Preface Getting Started with Deep Learning First Look at TensorFlow Using TensorFlow on a Feed-Forward Neural Network TensorFlow on a Convolutional Neural Network Optimizing TensorFlow Autoencoders Recurrent Neural Networks GPU Computing Advanced TensorFlow Programming Advanced Multimedia Programming with TensorFlow Reinforcement Learning

Summary

Now you have covered the most recent changes in TensorFlow 1.0. Also, you knew about image and video analysis and how the integration between TensorFlow and Keras will make it even easier. Also, you learned about running deep learning that is supported by TensorFlow as a platform for your Android mobile device.

The next chapter introduces Reinforcement Learning. We'll explore the basic principles and algorithms; also we'll see some application examples, using TensorFlow and the OpenAI Gymframework, that is a powerful toolkit for developing and comparing reinforcement learning algorithms.

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