Java deep learning cookbook : train neural networks for classification, NLP, and reinforcement learning using deeplearning4j

Responsibility
Rahul Raj.
Imprint
Birmingham : Packt Publishing, Limited, 2019.
Physical description
1 online resource (294 pages)

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Description

Creators/Contributors

Author/Creator
Raj, Rahul, author

Contents/Summary

Contents
  • Java deep learning cookbook: train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j
  • Dedication
  • About Packt
  • Contributors
  • Table of Contents
  • Preface
  • 1. Introduction to Deep Learning in Java
  • 2. Data Extraction, Transformation, and Loading
  • 3. Building Deep Neural Networks for Binary Classification
  • 4. Building Convolutional Neural Networks
  • 5. Implementing Natural Language Processing
  • 6. Constructing an LSTM Network for Time Series
  • 7. Constructing an LSTM Neural Network for Sequence Classification
  • 8. Performing Anomaly Detection on Unsupervised Data
  • 9. Using RL4J for Reinforcement Learning
  • 10. Developing Applications in a Distributed Environment
  • 11. Applying Transfer Learning to Network Models
  • 12. Benchmarking and Neural Network Optimization
  • Other Books You May Enjoy
  • Index.
Summary
Deep Learning is a trending topic in AI currently, as it allows you to make faster and more accurate predictions using the power of neural networks. This book will teach you the process of neural network design, and show you how to develop efficient deep learning applications using Deeplearning4j through practical and easy to implement recipes.

Bibliographic information

Publication date
2019
Note
Includes index.
ISBN
1788999479
9781788999472 (electronic bk.)
Librarian view | Catkey: 14729110