Deep learning : a practitioner's approach / Josh Patterson and Adam Gibson.
Publisher: Boston : O'Reilly, 2017Edition: First editionDescription: xxi, 507 pages : illustrations ; 24 cmContent type:- text
- unmediated
- volume
- 1491914254
- 9781491914250
- QA325.5 .P38 2017
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
BOOK | NCAR Library Foothills Lab | QA325.5 .P38 2017 | 1 | Available | 50583020006494 |
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.