Sign in to report inappropriate content. Julia is a new dynamic scientific programming language that's as fast as C while maintaining an easy-to-use syntax with powerful metaprogramming. In this talk, we'll explore how the TensorFlow.jl See the revamped dev site https://www.tensorflow.org/

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/

Fast input pipelines for all the datasets you know and love. See the revamped dev site https://www.tensorflow.org/

With TensorFlow 2.0, we are consolidating our APIs and integrating Keras across the TensorFlow ecosystem. In this talk, we give an overview of what to expect with TensorFlow High Level APIs in 2.0. See the revamped dev site https://www.tensorflow.org/

In this Swift for TensorFlow session, you will learn about language-integrated automatic differentiation, and tooling optimized for your productivity. See the revamped dev site https://www.tensorflow.org/