TensorFlow: Machine Learning for Phones, Robots and Big Servers
TensorFlow is a tool that help people make apps that can learn from data.
It runs on tiny phones and on huge big servers, so the same idea can be used at home or in a data center, no big rework needed.
Developers and students use it to teach machines to understand speech, pictures, robots and even help find new medicines, and it's been used in many places already, some surprising.
The system is simple to try yet can grow to handle lots of work, which makes it good for both small tests and real projects that must scale.
You don't need to change your code to move from a phone to a cluster of machines, that is one of the neat parts.
People call it TensorFlow because it moves data through a graph of steps, but you don't need the details to start building something useful.
It bridges lab ideas and real apps, making research find its way into real-world tools faster than before, and many teams keep using it day to day.
Read article comprehensive review in Paperium.net:
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
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