Description
Provides the TensorFlow machine-learning library for building and running numerical models using data-flow graphs and tensor operations. Developers and researchers use it for training, inference, experimentation, and scalable ML workflows.
Machine-learning code can consume large resources and may process sensitive datasets. Review model sources, data handling, and hardware requirements before running workloads.