Deep Learning and Java

Duration: 50 mins
Brian Sletten
Forward Leaning Software Engineer

We do not usually think of Java when we think about modern Deep Learning systems. Syntactically and culturally it is not the best fit when compared to languages such as Python, R or Julia. There have been some new libraries and frameworks emerging, however, that will allow you to take advantage of modern algorithms and techniques on the Java platform sometimes even with hardware acceleration via GPUs. We will introduce the major players in the field and show some compelling examples running in Java.

You may also be interested in

180 mins
Kotlin Basics and Beyond Workshop

Kotlin is the definitive language for Android development, but it can be used anywhere a Java Virtual Machine is available....

25 mins
Building High Resiliency into Digital Solutions

Building high resiliency into digital solutions is a critical requirement for good customer experience, particularly for financial institutions. In this...

25 mins
Event-driven Programming 101

Event-driven programming is a natural fit for applications whose control flow is based on internal or external events and not...

50 mins
A Dozen Cool Things We Can Do With Popular JVM Languages

Languages offer a lot more than syntax and compilers. They often have supporting libraries and special facilities that set them...

25 mins
Architecture Remediation

Many organizations are dealing with code that they can not maintain. Software developers struggle every day to understand, make changes...

50 mins
Heroku PaaS Apps to Feature your Work in any Language

Ever thought that you write code and promote, the application runs and automatically deploys? Do you want to deploy free hosting...