DL4J is a commercial-grade platform written in Java and compatible with Hadoop. Its neural nets work for image recognition, text analysis and speech-to-text. DL4J has implementations of such algorithms as binary and continuous restricted Boltzmann machines, deep-belief nets, denoising autoencoders, convolutional nets and recursive neural tensor networks. Users with a working knowledge of Java will be able to undertake anomaly/fraud detection, recommendation engines and social-media ranking systems, among many other machine learning applications.
Read full article from Practical Deep Learning Tutorial: Machine Perception and Its Applications (Deeplearning4j)
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