Description
Neural network training workloads can be built around task-based parallel execution. It is useful for researchers and developers experimenting with model training frameworks and parallel computation strategies.
This is a technical framework, not a consumer AI app. Users need machine-learning knowledge and should plan for hardware, memory, dataset, and reproducibility requirements.