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Java Deep Learning Cookbook

You're reading from  Java Deep Learning Cookbook

Product type Book
Published in Nov 2019
Publisher Packt
ISBN-13 9781788995207
Pages 304 pages
Edition 1st Edition
Languages
Author (1):
Rahul Raj Rahul Raj
Profile icon Rahul Raj

Table of Contents (14) Chapters

Preface Introduction to Deep Learning in Java Data Extraction, Transformation, and Loading Building Deep Neural Networks for Binary Classification Building Convolutional Neural Networks Implementing Natural Language Processing Constructing an LSTM Network for Time Series Constructing an LSTM Neural Network for Sequence Classification Performing Anomaly Detection on Unsupervised Data Using RL4J for Reinforcement Learning Developing Applications in a Distributed Environment Applying Transfer Learning to Network Models Benchmarking and Neural Network Optimization Other Books You May Enjoy

Technical requirements

The source code for this chapter can be found at https://github.com/PacktPublishing/Java-Deep-Learning-Cookbook/tree/master/10_Developing_applications_in_distributed_environment/sourceCode/cookbookapp/src/main/java/com/javacookbook/app.

After cloning our GitHub repository, navigate to the Java-Deep-Learning-Cookbook/10_Developing_applications_in_distributed_environment/sourceCode directory. Then, import the cookbookapp project as a Maven project by importing the pom.xml file.

You need to run either of the following preprocessor scripts (PreProcessLocal.java or PreProcessSpark.java) before running the actual source code:

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