TF. Learn is a high-level Python module for distributed machine learning inside TensorFlow.
TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms.
TensorFlow Eager is a multi-stage, Python-embedded domain-specific language for hardware-accelerated machine learning, suitable for both interactive research and production.
This new formulation leads to an algorithm that produces a stochastic classifier by playing a two-player non-zero-sum game solving for what we call a semi-coarse correlated equilibrium, which in turn corresponds to an approximately optimal and feasible solution to the constrained optimization problem.
TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments.
Our focus is on simplifying cutting edge machine learning for practitioners in order to bring such technologies into production.