This folder contains examples and documentation for the Deep Java Library (DJL) project.
- Core API - Engine-agnostic API
- Basic Dataset - Built-in datasets
- Model Zoo - Built-in engine-agnostic model zoo
- Repository API - Repository utilities to build the model zoo and dataset
- MXNet Engine - MXNet Engine implementation
- MXNet Model Zoo - MXNet symbolic model zoo
- Create your first neural network
- Train your first model
- Run image classification with your first model
- Run object detection with model zoo
- Load pre-trained MXNet model
- Transfer learning example
- Question answering example