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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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Toc

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

Answers to questions

Answer to question 1: For this, you can invoke the saveModel() method by providing the input model filename:

String FILENAME = Constants.FILENAME;
// Save the trained FM model
fmlsgd.saveModel(FILENAME);

The saveModel() method goes as follows:

public void saveModel(String FILENAME) throws Exception
{
FILENAME = Constants.FILENAME;
FileOutputStream fos = null;
DataOutputStream dos = null;
try {
fos = new FileOutputStream(FILENAME);
dos = new DataOutputStream(fos);
dos.writeBoolean(fm.k0);
dos.writeBoolean(fm.k1);
dos.writeDouble(fm.w0);
dos.writeInt(fm.num_factor);
dos.writeInt(fm.num_attribute);
dos.writeInt(task.ordinal());
dos.writeDouble(max_target);
dos.writeDouble(min_target);

...
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