Deeplearning4j
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Deeplearning4j
What is Eclipse Deeplearning4j?
Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs.
What’s included?
Deep neural nets are capable of record-breaking accuracy. For a quick neural net introduction, please visit our overview page. In a nutshell, Deeplearning4j lets you compose deep neural nets from various shallow nets, each of which form a so-called layer. This flexibility lets you combine variational autoencoders, sequence-to-sequence autoencoders, convolutional nets or recurrent nets as needed in a distributed, production-grade framework that works with Spark and Hadoop on top of distributed CPUs or GPUs.
There are a lot of parameters to adjust when you’re training a deep-learning network. We’ve done our best to explain them, so that Deeplearning4j can serve as a DIY tool for Java, Scala, Clojure and Kotlin programmers.
Distributed
- DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance.
Open Source
- The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Skymind team.
JVM/Python/C++
- Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure or Kotlin. The underlying computations are written in C, C++ and Cuda. Keras will serve as the Python API.
About Eclipse Deeplearning4j
Eclipse Deeplearning4j is an open-source, distributed deep-learning project in Java and Scala spearheaded by the people at Skymind, a San Francisco-based business intelligence and enterprise software firm. We’re a team of data scientists, deep-learning specialists, Java systems engineers and semi-sentient robots.
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.