AI News, Discussing TensorFlow History, Challenges, and Learning Perspective
- On Wednesday, June 6, 2018
- By Read More
Discussing TensorFlow History, Challenges, and Learning Perspective
The solution’s flexible architecture allows for deploying computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
This session with Yaroslav Bulatov and Lukasz Kaiser of the Google Brain team overviews the formation of TensorFlow in brief, provides some examples of the tool applied within Google products, plans for the future, etc.
(OpenAI is a non-profit artificial intelligence research organization founded by recognized machine learning/AI research engineers and scientists.) He highlighted the following aspects:
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