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

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781788997454

Length 436 pages

Edition 1st Edition

Languages

Java

Tools

Deeplearning4j

Concepts

Deep Learning

Author (1):

Md. Rezaul Karim

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Table of Contents (17) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. Getting Started with Deep Learning FREE CHAPTER

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

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Index

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

Deep Convolutional Neural Networks (DCNN) have been used in computer vision—for example, image classification, image feature extraction, object detection, and semantic segmentation. Despite such successes of state-of-the-art approaches for object detection from still images, detecting objects in a video is not an easy job.

Considering this drawback, in this chapter, we will develop an end-to-end project that will detect objects from video frames when a video clip plays continuously. We will be utilizing a trained YOLO model for transfer learning and JavaCV techniques on top of Deeplearning4j (DL4J) to do this. In short, the following topics will be covered throughout this end-to-end project: