DeepLearning4J: Open Source Neural Net Platform
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The document discusses neural networks and deep learning. It describes how neural networks can be used for tasks like natural language processing, computer vision, and recommender systems. It also discusses how platforms like Skymind's DeepLearning4J provide tools for building and training neural networks using Java and Scala. DeepLearning4J is open source and can run neural networks across CPUs and GPUs for large scale deep learning.
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Deeplearning4j is an infinitely scalable deep-learning architecture suitable for Hadoop and other big-data structures. It includes a distributed deep-learning framework and a normal deep-learning framework; i.e. it runs on a single thread as well. Training takes place in the cluster, which means it can process massive amounts of data. Nets are trained in parallel via iterative reduce, and they are equally compatible with Java, Scala and Clojure. The distributed deep-learning framework is made for data input and neural net training at scale, and its output should be highly accurate predictive models.
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