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Java Deep Learning Projects

You're reading from   Java Deep Learning Projects Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788997454
Length 436 pages
Edition 1st Edition
Languages
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Author (1):
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Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Deep Learning 2. Cancer Types Prediction Using Recurrent Type Networks FREE CHAPTER 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

State-of-the-art automated stock trading

Usually, in a security exchange, exchanges maintain order book lists of all buy and sell orders with their quantity and prices, and they execute them when a match is found between somebody buying and selling. In addition, exchanges keep and provide statistics about state trading, often captured as OHCL (short for, open-high-close-low) and volume for both currencies of a trader pair.

By the way, bar charts are used, showing open, high, low, and closing prices. Unlike line charts, OHLC charts enable technical analysts to evaluate intra-day volatility and see where prices opened and closed. Take a look at this diagram:

OHLC pricing model showing the open, high, low, and close prices of a certain time period (source: http://en.tradimo.com/tradipedia/ohlc-chart/)

This data is being presented as aggregated in some periods, from seconds to days...

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