DJL v0.2.1 release notes

This is the v0.2.1 release of DJL

Key Features

1. Added support for Windows 10.
2. CUDA 9.2 support for all supported Operating systems (Linux, Windows)

Known Issues

1. RNN operators do not working with GPU on Windows.
2. Only CUDA_ARCH 37, 70 are supported for Windows GPU machine.

DJL v0.2.0 release notes

This is the v0.2.0 release for DJL
Key Features

1. Deep learning engine agnostic High-level API for Training and Prediction.
2. Dataset API, to create objects based out of different dataset formats, that work with training batchifier.
3. MXNet-Model-Zoo with pre-trained models for Image Classification, Object Detection, Segmentation and more.
4. Jupyter Notebooks and Examples to help get started with Training and predicting models with DJL

Engines currently supported

1.Apache MXNet

Javadocs

The javadocs are available here