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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

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Deep learning in cancer genomics

Biomedical informatics includes all techniques regarding the development of data analytics, mathematical modeling, and computational simulation for the study of biological systems. In recent years, we've witnessed huge leaps in biological computing that has resulted in large, information-rich resources being at our disposal. These cover domains such as anatomy, modeling (3D printers), genomics, and pharmacology, among others.

One of the most famous success stories of biomedical informatics is from the domain of genomics. The Human Genome Project (HGP) was an international research project with the objective of determining the full sequence of human DNA. This project has been one of the most important landmarks in computational biology and has been used as a base for other projects, including the Human Brain Project, which is determined to...

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