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Patterson, Josh

Deep learning : a practitioner's approach Josh Patterson and Adam Gibson. - New Delhi : O'Reilly, ©2017. - xxi, 507 p.; 25 cm.

Includes bibliographical references and index.

A review of machine learning -- Foundations of neural networks and deep learning -- Fundamentals of deep networks -- Major architecture of deep networks -- Building deep networks -- Tuning deep networks -- Tuning specific deep network architectures -- Vectorization -- Using deep learning and DL4J on Spark -- What is artificial intelligence? -- RL4J and reinforcement learning -- Numbers everyone should know -- Neural networks and backpropagation: a mathematical approach -- Using the ND4J API -- Using DataVec -- Working with DL4J from source -- Setting up DL4J projects -- Setting up GPUs for DL4J projects -- Troubleshooting DL4J installations.

9789352136049

AD209375-0802-482F-ABA4-D5EFC47F1E2C OverDrive, Inc. http://www.overdrive.com


Machine learning.
Artificial intelligence.
Neural networks (Computer science)
COMPUTERS / General
Artificial intelligence.
Machine learning.
Neural networks (Computer science)


Electronic books.

Q325.5

006.31 / PAT-D

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