Author: Zoran Sevarac

Getting Started with Deep Learning in Java Using Deep Netts (Part 2)

For more complex deep learning challenges, more data, and need better performance, take a look at Deep Netts Professional Edition.

Getting Started with Deep Learning in Java Using Deep Netts

Learn how to make it easy to quickly start using deep learning and to integrate deep learning into existing Java applications.

Visual Recognition for Chess with Deep Learning in Java on Android

Deep Netts is a lightweight Java-native library, easy to learn, and solves many technical challenges related to ML.

Deep Learning in Java for Drug Discovery

I see tremendous potential for Deep Netts in the drug discovery pipeline and I feel it is necessary to share Deep Netts existence with the scientific community.

As a Java developer, I have especially come to appreciate having a tool in my language that I could immediately use out of the box and not have to add on weeks, or even months, of training in order to become proficient in another language.

Quick Start with Machine Learning in Java

So you’re a Java developer and you want to do some machine learning. Some of the questions that you might be wondering about are — what can machine learning do for me anyway, which library to use, which algorithm, and is there some common standard API?

Here is an example of Java code based on the VisRec API to build and use a classifier. Without any explanations, it should be clear to you what is happening.