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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

View More author details

Table of Contents (17) Chapters

Title Page

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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

Multi-label image classification using CNNs

In this section, we will show you a systematic example of developing real-life ML projects for image classification. However, we need to know the problem description first so as to know what sort of image classification needs to be done. Moreover, knowledge about the dataset is a mandate before getting started.

Problem description

Nowadays, food selfies and photo-centric social storytelling are becoming social trends. Consequently, an enormous amount of selfies that include foods and a picture of the restaurant are being uploaded on social media and websites. In many instances, food lovers also provide the written reviews that can significantly boost the popularity of a business (for example, a restaurant).

For example, millions of unique visitors have visited the Yelp website and have written more than 135 million reviews. Besides, many photos and users are uploading photos. Nevertheless, business owners can post photos and message their customers...