TY  - BOOK
AU  - Zocca, Valentino
AU  - Spacagna, Gianmario
AU  - Slater, Daniel
AU  - Roelants, Peter
TI  - Python deep learning: next generation techniques to revolutionize computer vision, AI, speech and data analysis 
SN  - 9781786464453
U1  - 005.133 ZOC-V 
PY  - 2017///
CY  - United Kingdom
PB  - Packt
KW  - Machine learning
KW  - Neural networks (Computer science)
KW  - Python (Computer program language)
N1  - 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.

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
ER  -