TensorFlow Probability Learning with confidence TF Dev Summit 19

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=BrwKURU-wpk

TensorFlow Probability (TFP) is a Python library built on TensorFlow that makes it easy to combine probabilistic models and deep learning on modern hardware (TPU, GPU). It's for data scientists, statisticians, and ML researchers/practitioners who want to encode domain knowledge to understand data and make predictions with uncertainty estimates. In this talk we focus on the layers module and demonstrate how TFP distributions fit naturally with Keras to enable estimating aleatoric and/or epistemic uncertainty. • • See the revamped dev site → https://www.tensorflow.org/ • • Watch all TensorFlow Dev Summit '19 sessions → http://bit.ly/TFDS19Sessions • Event homepage → http://bit.ly/TFDS19 • • Subscribe to the TensorFlow YouTube channel → https://bit.ly/TensorFlow1 • Speaker: • Josh Dillon, Software Engineer • • Music by Terra Monk → http://bit.ly/TerraMonkTFDS • Event Photo Album → http://bit.ly/TFSummit19 • • event: TensorFlow Dev Summit 2019; re_ty: Publish; product: TensorFlow - TensorFlow Probability; fullname: Josh Dillon;

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