Deep Java Library (DJL) is a Deep Learning Framework written in Java, supporting both training and inference. DJL is built on top of modern Deep Learning Frameworks (TenserFlow, PyTorch, MXNet, etc).

In Java, some array types are covariant and/or contravariant. In the case of covariance, this means that if T is compatible to U, then T[] is also compatible to U[].