Probabilistic Machine Learning in TensorFlow
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45 дней – 83711:34Опубликовано 13 апреля 2018, 22:39
In this episode of Coffee with a Googler, Laurence Moroney sits down with Josh Dillon. Josh works on TensorFlow, Google’s open source library for numerical computation, which is typically used in Machine Learning and AI applications. He discusses working on the Distribution API, which is based on probabilistic programming. Watch this video to find out what exactly probabilistic programming is, where the use of Distributions and Bijectors comes into play, & how you can get started. Subscribe to our channel to stay up to date with Google Developers.
Introducing TensorFlow Probability blog post → goo.gl/H3LG8y
The code lives at → goo.gl/bdwspL
Referenced paper → goo.gl/HtwJnj
Watch more Coffee with a Googler → goo.gl/5l123N
Subscribe to the Google Developers Channel → goo.gl/mQyv5L
Introducing TensorFlow Probability blog post → goo.gl/H3LG8y
The code lives at → goo.gl/bdwspL
Referenced paper → goo.gl/HtwJnj
Watch more Coffee with a Googler → goo.gl/5l123N
Subscribe to the Google Developers Channel → goo.gl/mQyv5L
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