Neural networks in Java with Deeplearning4j

Hi everybody, we're announcing a new meetup with a guest speaker in mid June:

Adam Gibson will present his open-source, distributed deep-learning framework, Deeplearning4j. This will include demos of its sentiment analysis and facial recognition tools.

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 applications.

Adam studied computer science and business administration at Michigan Tech, and now serves as machine-learning instructor at the data science academy Zipfian. He lives in San Francisco.