This is the Linux app named Deep Java Library (DJL) whose latest release can be downloaded as v0.20.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Deep Java Library (DJL)
DESCRIPTION
Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers. DJL provides native Java development experience and functions like any other regular Java library. You don't have to be a machine learning/deep learning expert to get started. You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your favorite IDE to build, train, and deploy your models. DJL makes it easy to integrate these models with your Java applications. Because DJL is deep learning engine agnostic, you don't have to make a choice between engines when creating your projects. You can switch engines at any point. To ensure the best performance, DJL also provides automatic CPU/GPU choice based on hardware configuration.
Features
- Write once and run anywhere
- Develop your model using DJL and run it on an engine of your choice
- Intuitive APIs use native Java concepts and abstract away complexity involved with Deep learning
- Bring in your own model, or use a state of the art model from our library to deploy in minutes
- Open source library to build and deploy deep learning in Java
- DJL's ergonomic API interface is designed to guide you with best practices
Programming Language
Java
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/deep-java-library-djl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
