Java deep learning cookbook : train neural networks for classification, NLP, and reinforcement learning using deeplearning4j
Rahul Raj (Author)
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
1 online resource (294 pages)
9781788999472, 1788999479
1127946188
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
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Index
Includes index