TensorFlow is a machine-learning system that can run on anything from a single smartphone to thousands of data-center computers. It builds upon DistBelief, the deep-learning infrastructure Google developed back in 2011, but takes that first generation several steps further.
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DistBelief was narrowly focused on neural networks, difficult to configure and tightly linked to Google’s internal infrastructure, making it "nearly impossible to share research code externally," explained Jeff Dean, a senior Google Fellow, and Rajat Monga, technical lead, in a separate post on the Google Research blog.
TensorFlow is twice as fast as DistBelief on some benchmarks, they said. It can also be used to build and train neural nets as much as five times faster than DistBelief could.
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Featuring a Python interface, TensorFlow is now available under an Apache 2.0 license as a standalone library along with associated tools, examples and tutorials. The current release reportedly runs only on a single machine, but expanded functionality is on the way.
- More Here
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DistBelief was narrowly focused on neural networks, difficult to configure and tightly linked to Google’s internal infrastructure, making it "nearly impossible to share research code externally," explained Jeff Dean, a senior Google Fellow, and Rajat Monga, technical lead, in a separate post on the Google Research blog.
TensorFlow is twice as fast as DistBelief on some benchmarks, they said. It can also be used to build and train neural nets as much as five times faster than DistBelief could.
[--]
Featuring a Python interface, TensorFlow is now available under an Apache 2.0 license as a standalone library along with associated tools, examples and tutorials. The current release reportedly runs only on a single machine, but expanded functionality is on the way.
- More Here
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