TensorFlow

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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

machine learning

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

machine learning

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

artificial intelligence / machine learning

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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Get started with TensorFlow

Begin harnessing the power of Google’s open source machine learning library with InfoWorld's hands-on tutorial

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TensorFlow review: The best deep learning library gets better

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use

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What to know before you get started with TensorFlow machine learning

Machine learning isn’t something you buy but something you do. Use TensorFlow to experiment now with machine learning so you can build it into your DNA

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Real-time machine learning with TensorFlow, Kafka, and MemSQL

How to build a simple machine learning pipeline that allows you to stream and classify simultaneously, while also supporting SQL queries

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