|Deep Learning: A Practitioner's Approach|
by Patterson, Josh, Gibson, Adam.
|RedBrazil Visitor Ranking (181 Votes)|
How can machine learning--especially deep neural networks--make a real difference in your organization? This hands-on guide not only provides practical information, but helps you get started building efficient deep learning networks. The authors provide the fundamentals of deep learning--tuning, parallelization, vectorization, and building pipelines--that are valid for any library before introducing the open source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J.
Paperback: 532 pages
Publisher: O'Reilly Media (082017)
Product Dimensions: 9.10 x 7.00 x 1.00 inches
Shipping Weight: 1.80 pound(s)
Media Mail: YES
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