The main goal of this book is to address many hot issues in deep learning applications and disclose the details of the solutions to the reader. The main content is divided into 7 chapters: Chapter 1 introduces the basics of deep learning, Chapter 2 introduces distributed deep learning for large-scale data, Chapter 3 introduces convolutional neural networks, Chapter 4 introduces recurrent neural networks, Chapter 5 introduces limited Boltzmann machines, Chapter 6 introduces autoencoders, and Chapter 7 introduces how to play deep learning with Hadoop.
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Posted on 2019-11-3 09:35:24
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Posted on 2020-5-4 14:22:33