DL4J
Deeplearning4j is one of the few machine learning frameworks written native to Java, targeting Java Virtual Machines (JVMs).
Tags:AI FrameworkAI Model modelDeeplearning4j is one of the few machine learning frameworks written native to Java, targeting Java Virtual Machines (JVMs). This framework was developed by a team of machine learning developers based in San Francisco and provided commercial support by the startup Skymind. Deeplearning4j was donated to the Eclipse Foundation in October 2017. This library is compatible with Clojure and Scala.
For cluster and distributed training, Deeplearning4j integrates with Apache Spark and Apache Hadoop. It is also integrated with the NVIDIA CUDA runtime and can perform GPU operations and distributed training between multiple GPUs.
Deeplearning4j includes an n-dimensional array class using ND4J, which allows for scientific computation in Java and Scala, similar to the functions provided by NumPy to Python. It can be effectively used as a library for performing linear algebra and matrix operations, for training and inference.
Deeplearning4j can be used to train models that can perform image classification, object detection, image segmentation, natural language processing, and time series prediction.
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