Enables single machine or distributed training and evaluation of deep learning models.
Open source
24 alternativesDeeplearning4j
Deeplearning4j provides tools for training and deploying deep learning models in the JVM.
About Deeplearning4j
Deeplearning4j is a set of tools for training and deploying deep learning models on the JVM, usable with Java, Scala, Kotlin, Clojure and other JVM languages. It includes DL4J for building MultiLayerNetworks and ComputationGraphs, ND4J for linear algebra operations, SameDiff for automatic differentiation, DataVec for loading and preprocessing data, the LibND4J C++ backend, and Python4J for bundled CPython execution.
It supports importing Keras h5 models including tf.keras models and TensorFlow frozen .pb models, and distributed training on Apache Spark. It runs on Windows, Linux and macOS with x86, ARM and PowerPC CPUs and CUDA 10.0, 10.1 and 10.2 GPUs except on macOS, and requires use with a build tool such as Maven.
Key features
- Build MultiLayerNetworks and ComputationGraphs with custom layers
- Import Keras models from h5 including tf.keras models
- Distributed training on Apache Spark
- Automatic differentiation via SameDiff graph-based framework
- Import TensorFlow frozen .pb protobuf models
- Preprocess data from HDFS, Spark, images, video, audio, CSV
Best for: Developers building deep learning applications on the JVM in Java, Scala, Kotlin, or Clojure.
Good for
- Usable from Java, Scala, Kotlin, Clojure and other JVM languages
- Supports Windows, Linux and macOS across x86, ARM, PowerPC and CUDA GPUs
- Open source codebase
Watch out for
- Only supports usage with a build tool
- SameDiff uses define-then-run; eager execution is listed as planned
- SameDiff import for ONNX, TensorFlow SavedModel and Keras is listed as planned
Deeplearning4j at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Deeplearning4j FAQ
Which operating systems and hardware are supported?
Windows, Linux and macOS, with CUDA GPUs 10.0, 10.1 and 10.2 except on macOS, x86 CPU, ARM CPU and PowerPC ppc64le.
Which programming languages can it be used with?
It runs on the JVM and can be used with Java, Scala, Kotlin, Clojure and other JVM languages.
Where can users get community support?
Community support is available at https://community.konduit.ai/.
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