Deep learning : a practitioner's approach
By: Patterson, Josh.
Contributor(s): Gibson, Adam.Material type: BookPublisher: New Delhi : O'Reilly, ©2017Description: xxi, 507 p.; 25 cm.ISBN: 9789352136049.Subject(s): Machine learning | Artificial intelligence | Neural networks (Computer science) | COMPUTERS / General | Artificial intelligence | Machine learning | Neural networks (Computer science)Genre/Form: Electronic books.Online resources: Access eNYPL
|Item type||Current location||Collection||Call number||Status||Date due||Barcode||Item holds|
|Books||IIITD General Stacks||Computer Science and Engineering||006.31 PAT-D (Browse shelf)||Checked out||03/04/2020||008723|
|Books||IIITD Reference||Computer Science and Engineering||REF 006.31 PAT-D (Browse shelf)||Not for loan||008722|
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.