Exploring Distributed Tensorflow Tensorflow Dev Summit 2018
Exploring Distributed Tensorflow Tensorflow Dev Summit 2018 reveals several interesting facts.
- Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).
- Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ...
- Derek Murray discusses tf.data, the recommended API for building input pipelines in
- Watch this demo of the
- Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to
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 Sarah Sirajuddin and Andrew Selle discuss Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ...
Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around
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