There are a lot of knobs to turn when you’re training a distributed deep-learning network. We’ve done our best to explain them, so that Eclipse Deeplearning4j can serve as a DIY tool for Java, Scala and Clojure programmers working on Hadoop and other file systems. - Official website
See Apache Hadoop.
Deeplearning4j includes implementations of the restricted Boltzmann machine, deep auto-encoder, deep belief net, stacked denoising auto-encoder and recursive neural tensor network, word2vec, doc2vec, and GloVe. These algorithms also include distributed parallel versions that integrate with Apache Hadoop and Apache Spark.
The Microsoft Cognitive Toolkit Apache MXNet (Incubating) Apache SystemML TensorFlow Caffe OpenNN PyTorch Torch Weka
The Microsoft Cognitive Toolkit Massive Online Analysis (MOA) Apache MXNet (Incubating) Apache SystemML OpenCV Orange TensorFlow Apache Mahout Apache Spark PyTorch scikit-learn Torch Weka Yooreeka mlpack MALLET
The Microsoft Cognitive Toolkit AForge.NET Accord.NET TensorFlow OpenCog
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