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Move from uncertainty to clarity by applying AI to simulations

Move from uncertainty to clarity by applying AI to simulations

We built Deeplearning4j, the most widely used open-source deep-learning framework for Java and the JVM. Our massively parallel deep-learning nets run on native or GPUs. They help large organizations mine value from unstructured data like raw media: images, text, sound and time series. We built the API to be as simple as scikit-learn. A few use cases: fraud and anomaly detection, image recognition and search, voice recognition, sentiment analysis and CRM with text, logs and clickstreams. Deep learning creates features automatically, saving data scientists months and perhaps years of manual feature creation and amplifying their productivity. Because it handles unstructured data better than traditional machine learning tools, it has been breaking accuracy records for the last few years. Those results are helping companies find massive cost savings and create new products. deeplearning4j.org
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Chris V. Nicholson

Avatar for Chris V. Nicholson
Founder Pathmind.com and previously Skymind.ai • Worked at @The New York Times, @FutureAdvisor • Y Combinator W16 • Deep Springs College
Total raised

$3M

Funded over

2 rounds

Latest round

Sep 2016