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Java Deep Learning Projects

You're reading from Java Deep Learning Projects

Product type Book

Published in Jun 2018

Publisher Packt

ISBN-13 9781788997454

Pages 436 pages

Edition 1st Edition

Languages

Concepts

Table of Contents (13) Chapters

Preface

1. Getting Started with Deep Learning

2. Cancer Types Prediction Using Recurrent Type Networks

3. Multi-Label Image Classification Using Convolutional Neural Networks

4. Sentiment Analysis Using Word2Vec and LSTM Network

5. Transfer Learning for Image Classification

6. Real-Time Object Detection using YOLO, JavaCV, and DL4J

7. Stock Price Prediction Using LSTM Network

8. Distributed Deep Learning – Video Classification Using Convolutional LSTM Networks

9. Playing GridWorld Game Using Deep Reinforcement Learning

10. Developing Movie Recommendation Systems Using Factorization Machines

11. Discussion, Current Trends, and Outlook

12. Other Books You May Enjoy

Leave a review - let other readers know what you think

Discussion and outlook

Throughout this book, we have covered 10 end-to-end projects. We started our journey with an introduction to deep learning and finished at a factorization-machine based movie recommendation system project. In this section, we'll briefly review these projects, discuss potential limitations, and provide some future directions toward improvement and extension.

Discussion on the completed projects

In between, we tried to cover several real-life projects from diverse domains such as healthcare, sentiment analysis in NLP, transfer learning, image and video classification, distributed deep learning and training, reinforcement learning, online trading, and real-life object detection from video. These are...

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