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TF.Learn: TensorFlow's High-level Module for Distributed Machine Learning

tensorflow/tensorflow 13 Dec 2016

TF. Learn is a high-level Python module for distributed machine learning inside TensorFlow.

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

tensorflow/tensorflow 14 Mar 2016

TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms.

Dimensionality Reduction General Classification

TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning

tensorflow/tensorflow 27 Feb 2019

TensorFlow Eager is a multi-stage, Python-embedded domain-specific language for hardware-accelerated machine learning, suitable for both interactive research and production.

Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals

tensorflow/tensorflow 11 Sep 2018

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.

Fairness

TensorFlow: A system for large-scale machine learning

tensorflow/tensorflow 27 May 2016

TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments.

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks

tensorflow/tensorflow 8 Aug 2017

Our focus is on simplifying cutting edge machine learning for practitioners in order to bring such technologies into production.

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