Getting Started with Java Deep Learning [Video]

More Information
Learn
  • Get a practical deep dive into deep learning algorithms
  • Implement well-known algorithms related to deep learning
  • Explore neural networks using some of the most popular deep learning frameworks
  • Dive into Deep Belief Nets and Stacked Denoising Autoencoders algorithms
  • Discover more Deep Learning algorithms with Convolutional Neural Networks
  • Get a practical insight about how to tune models
About

AI and deep learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. It is the technology behind self-driven cars, intelligent personal assistant computers, and decision support systems. Deep learning algorithms are being used across a broad range of industries. As the fundamental driver of AI, being able to tackle deep learning with Java is going to be a vital and valuable skill, not only within the tech world, but also for the wider global economy that depends upon knowledge and insight for growth and success.

You will learn how to install the environment, where Git is used as version control, Eclipse or IntelliJ as an IDE, and mostly Gradle with a little bit of Maven as a build tool. You will learn how to use the DL4J and apply deep learning to a range of real-world use cases. You will then be introduced to Neural networks and later you will learn how to implement them. You will also be given an insight about various deep learning algorithms. You will then be trained to tune Apache Spark.

By the end of the video course, you’ll be ready to tackle deep learning with Java. Wherever you’ve come from—whether you’re a data scientist or Java developer—you will become a part of the deep learning revolution!

Style and Approach

This is a step-by-step, practical tutorial that discusses key concepts. The book offers a hands-on approach to key algorithms to help you develop a greater understanding of deep learning. It is packed with implementations from scratch, with detailed explanation that make the concepts easy to understand and follow.

Features
  • Go beyond the theory and put deep learning into practice with Java
  • Work with powerful libraries to enhance your deep learning algorithms
  • Whether you’re a data scientist or Java developer, dive in and find out how to tackle deep learning
Course Length 1 hour 54 minutes
ISBN 9781787121591
Date Of Publication 24 Feb 2017

Authors

Sercan Karaoglu

Sercan Karaoglu gained his BSc in Mathematics Engineering at Istanbul Technical University. Karaoglu also completed a Research and Development project at age 23, at Foreks, in collaboration with The Scientific and Technological Research Council of Turkey(TUBITAK). This project was related to the application of Artificial Neural Networks in Financial Trading Decision Support Systems and Market Simulation for Intraday and Daily Trading.

Currently, he develops High Throughput-Low Latency Reactive Microservices and Reactive Stream applications at work and researches the topics of Deep Learning and Machine Learning. He is Java Software Engineer at the Dissemination Department of Foreks Information Systems, which is one of the leading IT companies in Turkey’s financial sector. It has specialized in software that is directly integrated with financial professionals and Istanbul Stock Market for over 26 years.

He is currently studying for his MSc in Computer Engineering at Bahcesehir University in the field of Big Data Analytics and Management.