Book Image

Java Deep Learning Projects

Book Image

Java Deep Learning Projects

Overview of this book

Java is one of the most widely used programming languages. With the rise of deep learning, it has become a popular choice of tool among data scientists and machine learning experts. Java Deep Learning Projects starts with an overview of deep learning concepts and then delves into advanced projects. You will see how to build several projects using different deep neural network architectures such as multilayer perceptrons, Deep Belief Networks, CNN, LSTM, and Factorization Machines. You will get acquainted with popular deep and machine learning libraries for Java such as Deeplearning4j, Spark ML, and RankSys and you’ll be able to use their features to build and deploy projects on distributed computing environments. You will then explore advanced domains such as transfer learning and deep reinforcement learning using the Java ecosystem, covering various real-world domains such as healthcare, NLP, image classification, and multimedia analytics with an easy-to-follow approach. Expert reviews and tips will follow every project to give you insights and hacks. By the end of this book, you will have stepped up your expertise when it comes to deep learning in Java, taking it beyond theory and be able to build your own advanced deep learning systems.
Table of Contents (13 chapters)

Discussion and outlook

Throughout this book, we have covered 10 end-to-end projects. We started our journey with an introduction to deep learning and finished at a factorization-machine based movie recommendation system project. In this section, we'll briefly review these projects, discuss potential limitations, and provide some future directions toward improvement and extension.

Discussion on the completed projects

In between, we tried to cover several real-life projects from diverse domains such as healthcare, sentiment analysis in NLP, transfer learning, image and video classification, distributed deep learning and training, reinforcement learning, online trading, and real-life object detection from video. These are...