TensorFlow

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Google previews site for sharing machine learning experiments

TensorBoard.dev allows you to upload and share TensorBoards and visualize model graphs and metrics

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Google Cloud launches TensorFlow Enterprise

Google Cloud service combines the TensorFlow machine learning platform with enterprise support and managed services

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TensorFlow 2 review: Easier machine learning

Now more platform than toolkit, TensorFlow has made strides in everything from ease of use to distributed training and deployment

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What is TensorFlow? The machine learning library explained

TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning faster and easier

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What’s new in TensorFlow 2.0

Google’s TensorFlow 2.0 is now available in beta, with a focus on improving performance, ease, compatibility, and continuity

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TensorFlow unveils MLIR for faster machine learning

Sublanguage project promises faster compilation and easier hardware optimization for high-performance machine learning models

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Machine learning: How to go from theory to reality

A lack of skilled people continues to stymie the AI revolution. That’s why smart companies invest as much in cultural change as technology adoption—and Google shows how

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Microsoft’s ML.Net framework adds TensorFlow scoring

This capability enables use of an existing model from Google’s TensorFlow deep learning and machine learning toolkit

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LinkedIn open-sources a tool to run TensorFlow on Hadoop

The Tony project uses Hadoop's native scheduler to run TensorFlow jobs, making fault tolerance and GPU usage easier

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TensorFlow.js puts machine learning in the browser

The WebGL-accelerated library works with the Node.js server-side JavaScript runtime, but isn’t on par with Tensorflow’s Python API

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