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Deeplearning4j

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About

Deeplearning4j is a comprehensive suite designed for deep learning on JVM, enabling the training of models constructed in Java while allowing interaction with Python ecosystems through bindings, model imports, and integration with TensorFlow and ONNX runtimes. It supports importing and retraining models from frameworks like PyTorch and Keras for deployment in JVM microservices, mobile, IoT devices, and Apache Spark. The suite includes submodules such as ND4J for numerical operations, Samediff for building neural networks, Datavec for data transformation, Libnd4j for optimized math code execution, Python4j for running Python scripts, and Apache Spark integration for deep learning pipelines.

Platform
Web
Keywords
deep learningopen sourcepytorchtensorflowjava
Task
deep learning
Features

• java-based deep learning framework

• open-source under apache 2.0

• submodules for specific functionalities

• support for keras, tensorflow, and pytorch models

• interoperability with python

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