English
资源说明：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. This book will give you all the practical information
available on the subject, including 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 scikit-learn. Moving ahead, you
will learn to use the latest open source libraries, such as Theano, Keras, Google's
TensorFlow, and H2O. 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.
本源码包内暂不包含可直接显示的源代码文件，请下载源码包。
