Description
Deep-learning workloads can use MKL-optimized CPU routines through this machine-learning library build. It is useful for developers and researchers who want faster CPU-backed neural-network experiments.
AI libraries can process sensitive datasets and use significant compute resources. Validate numerical behavior, data handling, and deployment assumptions.