【深度学习书籍】Python Deep Learning pdf _下载

书名：Python Deep Learning
作者: Valentino Zocca / Gianmario Spacagna /Daniel Slater / Peter Roelants
出版社: Packt Publishing - ebooks Account
出版年: 2017-5-4

内容简介
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Key Features

1.Explore and create intelligent systems usingcutting-edge deep learning techniques

2.Implement deep learning algorithms and work withrevolutionary libraries in Python

3.Get real-world examples and easy-to-followtutorials on Theano, TensorFlow, H2O and more

Book Description
With an increasing interest in AIaround the world, deep learning has attracted a great deal of public attention.Every day, deep learning algorithms are used broadly across differentindustries.

The book will give you all thepractical information available on the subject, including the best practices,using real-world use cases. You will learn to recognize and extract informationto increase predictive accuracy and optimize results.

Starting with a quick recap ofimportant machine learning concepts, the book will delve straight into deeplearning principles using Sci-kit learn. Moving ahead, you will learn to usethe latest open source libraries such as Theano, Keras, Google's TensorFlow,and H20. Use this guide to uncover the difficulties of pattern recognition,scaling data with greater accuracy and discussing deep learning algorithms andtechniques.

Whether you want to dive deeperinto Deep Learning, or want to investigate how to get more out of this powerfultechnology, you’ll find everything inside.

What you will learn

1.Get a practical deep dive into deep learningalgorithms

2.Explore deep learning further with Theano, Caffe,Kera, and TensorFlow

3.Learn about two of the most powerful techniques atthe core of many practical deep learning implementations: Auto-Encoders andRestricted Boltzmann Machines

4.Dive into Deep Belief Nets and Deep NeuralNetworks

5.Discover more deep learning algorithms withDropout and Convolutional Neural Networks

6.Get to know device strategies so you can use deeplearning algorithms and libraries in the real world.