Deeplearning4j
deeplearning4j.konduit.ai
What it is
Deeplearning4j is an open-source framework for building, training, and deploying neural networks on the JVM, using Java or Scala. It can compute on CPUs through OpenBLAS and oneDNN, or use CUDA for GPU acceleration. For distributed training, it supports Apache Spark across CPU or GPU clusters. The framework can import models from Keras, TensorFlow, and ONNX, while Python4J provides Python interoperability from Java through CPython embedding. Its wider ecosystem includes ND4J, SameDiff, DataVec, Keras Import, Python4J, OmniHub, and Arbiter. Documented deployment targets include JVM microservices, mobile devices, IoT, and Spark environments. The libraries are licensed under Apache License 2.0 and governed by the Eclipse Foundation. The quickstart recommends Maven for Java projects, with Ivy and Gradle also workable. Documentation covers version 1.0.0-M2.1. The free plan is listed at free. Support options include GitHub issues, community forums, Stack Overflow, and professional support from Konduit.
Spec sheet
- What it does
- Eclipse Deeplearning4j is an open-source deep learning framework for the JVM, for building, training, and deploying neural networks in Java and Scala.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Purpose
- Eclipse Deeplearning4j is an open-source, distributed deep learning framework for the JVM.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Audience
- The quickstart says DL4J targets professional Java developers familiar with production deployments, IDEs, and automated build tools.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Support
- The support page lists GitHub issues, community forums, Stack Overflow, and professional support from Konduit.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- License
- The Deeplearning4j project is licensed under Apache License 2.0.Read 8 Oct 2026 · github.com
- Commercial support
- Konduit says it provides professional support and software for data science and model serving.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Compute
- It provides native GPU acceleration via CUDA and CPU computation via OpenBLAS and oneDNN.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Current documentation version
- The homepage says its documentation covers Deeplearning4j 1.0.0-M2.1 as current.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Current documented version
- The documentation homepage identifies version 1.0.0-M2.1 as the current version covered.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Deployment use cases
- The documentation describes deploying models in JVM microservices, mobile devices, IoT, and Apache Spark environments.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Distributed training
- Deeplearning4j supports distributed neural network training on CPU or GPU clusters using Apache Spark.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Ecosystem
- Its ecosystem includes ND4J, SameDiff, DataVec, Keras Import, Python4J, OmniHub, and Arbiter.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Intended use
- The suite is described for JVM deep learning applications, including importing and retraining models and deploying them in JVM microservices, mobile devices, IoT, and Apache Spark.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Languages
- It supports building, training, and deploying neural networks in Java and Scala.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Model import
- The documentation lists model import support for Keras, TensorFlow, and ONNX.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Model interoperability
- The suite supports importing models from Keras, TensorFlow, and ONNX.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Open source
- The libraries are described as completely open source under the Apache 2.0 license and under Eclipse Foundation governance.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Python interoperability
- Python4J provides Python interoperability from Java through CPython embedding.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Setup
- The quickstart recommends Maven for Java projects and says other build tools, including Ivy and Gradle, can also work.Read 8 Oct 2026 · deeplearning4j.konduit.ai
- Spark
- The documentation lists Apache Spark integration for distributed training.Read 8 Oct 2026 · deeplearning4j.konduit.ai
Plans and prices
Open-source Deeplearning4j Free Apache License 2.0 · JVM framework · Maven dependencies Read 8 Oct 2026 · deeplearning4j.konduit.ai
Strong points and limits
Strong points
- Builds, trains, and deploys networks in Java and Scala
- CUDA GPU acceleration and CPU computation
- Distributed training with Apache Spark
- Imports Keras, TensorFlow, and ONNX models
- Apache License 2.0; listed at free
Limits
- Documentation covers version 1.0.0-M2.1
- Quickstart targets developers familiar with production deployments
Who it suits
It suits professional Java developers familiar with production deployments, IDEs, and automated build tools. Teams working with JVM applications can use it to train models and deploy them across the listed environments.
Verdict
Deeplearning4j brings neural-network training, model import, and deployment options to JVM development. Its documented version and Java-focused quickstart are useful details to weigh before adopting it.
Where Specifiction places it
- Deep Learning Software#4 of 358.7