Search icon
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
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 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 13. Other Books You May Enjoy

Setting up the Malmo environment and respective dependencies

We need to set up RL4J Malmo dependencies to run the source code. Just like any other DL4J application, we also need to add ND4J backend dependencies as well depending upon your hardware (CPU/GPU). In this recipe, we will add the required Maven dependencies and set up the environment to run the application.

Getting ready

The Malmo client should be up and running before we run the Malmo example source code. Our source code will communicate with the Malmo client in order to create and run the missions.

How to do it...

...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}