AI development framework

DL4J

Introduction to fundamental deep learning concepts and principles.

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Introduction

What is Deeplearning4j


Deeplearning4j is a suite of tools for running deep learning on the JVM, developed under the Eclipse foundation. It is the only framework that allows training models from Java while interoperating with the Python ecosystem through Python execution, model import support, and integration with other runtimes like TensorFlow and ONNX. It supports use cases such as importing and retraining models (PyTorch, TensorFlow, Keras) and deploying them in JVM microservices, mobile devices, IoT, and Apache Spark environments. The suite includes submodules like Samediff, Nd4j, Libnd4j, Python4j, Apache Spark Integration, and Datavec.


Top Features


- Samediff: A TensorFlow/PyTorch-like framework for executing complex graphs, supporting ONNX and TensorFlow graphs.
- Nd4j: A Java library for numerical operations, combining NumPy-like functionality with TensorFlow/PyTorch operations.
- Libnd4j: A lightweight C++ library for running math code on various devices.
- Python4j: A framework for executing Python scripts in production environments.
- Apache Spark Integration: Enables deep learning pipelines on Apache Spark.
- Datavec: A data transformation library for converting raw data into tensors suitable for neural networks.
- Open Source: Fully open-source under Apache 2.0 license, with contributions welcomed.


Pricing


Deeplearning4j is completely open-source and free to use under the Apache 2.0 license. There are no pricing tiers or paid versions.


FAQs


- What is Deeplearning4j used for?
It is used for training and deploying deep learning models on the JVM, with interoperability for Python and other frameworks like TensorFlow and ONNX.
- Is Deeplearning4j free?
Yes, it is open-source and free under the Apache 2.0 license.
- Can I use Deeplearning4j with Python?
Yes, it supports Python execution and model import, making it compatible with Python workflows.
- What are the main components of Deeplearning4j?
The main components include Samediff, Nd4j, Libnd4j, Python4j, Apache Spark Integration, and Datavec.
- How do I get started with Deeplearning4j?
Refer to the Quickstart guide and Required Dependencies documentation on the website.

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