Deeplearning4j is a deep learning library for Java and the JVM; in 2017 it joined the Eclipse Foundation and open sourced its libraries. The latest update, Deeplearning4j Version 1.0.0-beta4 adds new support, optimization, fixes some pesky bugs, and adds a few new features.
Thanks to their flexible nature, neural networks and deep learning have transformed data science. Briton Park explains how to forecast oceanic temperatures by designing, training, and evaluating a neural network model with Eclipse Deeplearning4j. This tutorial presents a proof of concept, demonstrating the flexibility of neural networks and their potential to impact a variety of real-world problems.
Every Monday we take a step back and take a look at all the cool stuff that went down during the previous week. Last week was a particularly exciting one for Android enthusiasts since Google made some big announcements at its I/O conference!
We’re back with a new programming pub quiz! This week, we’re testing your knowledge about Deeplearning4j. Do you know everything there is to know about this machine learning library for the JVM?
Get your bags packed, it’s time to migrate your machine learning models from TensorFlow into Deeplearning4j. This trip is a lot easier than you’d think, but there are still some pitfalls for the unwary.
In this article, Max Pumperla explains the strategy behind Go and teaches you how to build a bot to play against it using Deeplearning4j.
Why did Skymind join the Eclipse Foundation last month? Chris Nicholson, CEO of Skymind and creator of Deeplearning4j, explains why open sourcing its libraries was a step forward to show developers and enterprises that Deeplearning4j is mature, secure, and a safe bet for deep learning.