tensorflow

Why we included this project

TensorFlow is the deep learning framework most teams meet first, and it has held up well as a general-purpose choice for building and training neural networks across a wide range of tasks. The stable Python API covers model definition, while the C++ core and the surrounding tooling make it practical to move trained models into production, whether that means serving predictions at scale or running them on mobile and edge devices. Researchers use it to prototype new architectures, and engineering teams lean on its distributed training support to spread work across many machines. If you are starting an ML project and want a mature, well-documented framework with a large ecosystem of libraries and community resources, TensorFlow deserves a look alongside the other general frameworks.