作者: Valentino Zocca / Gianmario Spacagna / Daniel Slater / Peter Roelants
出版社: Packt Publishing - ebooks Account
出版年: 2017-5-4
页数: 368
ISBN: 9781786464453
Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.
About This Book
Explore and create intelligent systems using cutting-edge deep learning techniques
Implement deep learning algorithms and work with revolutionary libraries in Python
Get real-world examples and easy-to-follow tutorials on Theano TensorFlow H2O and more
Who This Book Is For
This book is for Data Science practitioners as well as aspirants who have a basic foundational understanding of Machine Learning concepts and some programming experience with Python. A mathematical background with a conceptual understanding of calculus and statistics is also desired.
What You Will Learn
Get a practical deep dive into deep learning algorithms
Explore deep learning further with Theano Caffe Keras and TensorFlow
Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines
Dive into Deep Belief Nets and Deep Neural Networks
Discover more deep learning algorithms with Dropout and Convolutional Neural Networks
Get to know device strategies so you can use deep learning algorithms and libraries in the real world
In Detail
With an increasing interest in AI around the world deep learning has attracted a great deal of public attention. Every day deep learning algorithms are used broadly across different industries.
The book will give you all the practical information available on the subject including the best practices using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results.
Starting with a quick recap of important machine learning concepts the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead you will learn to use the 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 and techniques.
Whether you want to dive deeper into Deep Learning or want to investigate how to get more out of this powerful technology you'll find everything inside.
Style and approach
Python Machine Learning by example follows practical hands on approach. It walks you through the key elements of Python and its powerful machine learning libraries with the help of real world projects.
