Deeplearning4jdeeplearning4j/deeplearning4j
Scalable deep learning for industry with parallel GPUs.
neuroph.sourceforge.net
Neuroph is lightweight Java neural network framework.
Scalable deep learning for industry with parallel GPUs.
ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning, designed to be easy to get started with and simple to use for Java developers.
An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trainings using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks.
Friendly guide on using Keras to implement a simple Neural Network in Python.