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Deep learning : a practitioner's approach /

by Patterson, Josh (Consultant) [author.]; Gibson, Adam [author.].
Edition: First edition.Description: xxi, 507 pages : illustrations ; 24 cm.ISBN: 1491914254; 9781491914250.Subject(s): Machine learning | Neural networks (Computer science) | Open source software
Contents:
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.
List(s) this item appears in: Recent Additions to the NCAR Library Collection
Item type Location Call number Status Date due
BOOK BOOK Mesa Lab QA325.5 .P38 2017 (Browse shelf) Available

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.

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