Patterson, Josh (Consultant),

Deep learning : a practitioner's approach / Josh Patterson and Adam Gibson. - First edition. - xxi, 507 pages : illustrations ; 24 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.

1491914254 9781491914250

Machine learning.
Neural networks (Computer science)
Open source software.

QA325.5 / .P38 2017

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