Exploring Distributed Tensorflow Tensorflow Dev Summit 2018
Exploring Distributed Tensorflow Tensorflow Dev Summit 2018 reveals several interesting facts.
- Sarah Sirajuddin and Andrew Selle discuss
- Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to
- This talk demonstrates how to perform
- Chris Lattner and Richard Wei unveil Swift for
- To efficiently train machine learning models, you will often need to scale your training to multiple GPUs, or even multiple machines ...
In-Depth Information on Distributed Tensorflow Tensorflow Dev Summit 2018
Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... TensorFlow Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ...
TensorFlow Dev Summit 2018
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