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deeplearning4j

14,136
3,858
Java

Project Description

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

deeplearning4j: Suite of tools for deploying and training deep learning models using the JVM. Highlights include mod

Project Title

deeplearning4j — A JVM-based Deep Learning Framework for Building and Training Neural Networks

Overview

Deeplearning4j (DL4J) is an open-source, distributed deep-learning library written for Java and the JVM. It is designed to be used in business environments, targeting training and deploying deep neural networks. DL4J stands out for its ability to import models from Keras, TensorFlow, and ONNX/PyTorch, and its support for a variety of JVM languages, including Scala, Kotlin, and Clojure.

Key Features

  • Import models from Keras, TensorFlow, and ONNX/PyTorch
  • Modular and tiny C++ library for running math code
  • Java-based math library on top of the core C++ library
  • Supports distributed training on Apache Spark

Use Cases

  • Data scientists and machine learning engineers using JVM languages to build and train deep learning models
  • Enterprises requiring distributed training capabilities for large-scale machine learning tasks
  • Researchers and developers needing to import and work with pre-trained models from various frameworks

Advantages

  • Supports a wide range of JVM languages, enhancing developer flexibility
  • Enables distributed training, making it suitable for large-scale deep learning applications
  • Provides a high-level API for building complex neural networks with custom layers

Limitations / Considerations

  • The project has a steep learning curve for those unfamiliar with JVM-based languages
  • May require significant computational resources for training complex models, especially in distributed environments

Similar / Related Projects

  • TensorFlow: A comprehensive open-source machine learning framework, but not JVM-based.
  • PyTorch: A popular deep learning framework that excels in flexibility and speed, but also not JVM-based.
  • H2O: An open-source, in-memory, distributed, fast, and scalable machine learning and predictive analytics platform, which offers a different approach to deep learning.

Basic Information


📊 Project Information

🏷️ Project Topics

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📚 Documentation

  • [Documentation
  • [javadoc
  • [javadoc

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Project Information

Created on 11/27/2013
Updated on 11/5/2025