TY  - BOOK
AU  - Patterson,Josh
AU  - Gibson,Adam
TI  - Deep learning: a practitioner's approach 
SN  - 9781491914250
U1  - 006.31 
PY  - 2017///
CY  - Mumbai
PB  - O'Reilly, SPD Pvt. Ltd.
KW  - Machine learning
KW  - Neural networks (Computer science)
KW  - Open source software
N1  - 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
N2  - How can machine learning--especially deep neural networks--make a real difference in your organization? This hands-on guide not only provides practical information, but helps you get started building efficient deep learning networks. The authors provide the fundamentals of deep learning--tuning, parallelization, vectorization, and building pipelines--that are valid for any library before introducing the open source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J.--
ER  -