Exploring Distributed Tensorflow Tensorflow Dev Summit 2018
Exploring Distributed Tensorflow Tensorflow Dev Summit 2018 reveals several interesting facts.
- Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ...
- This talk demonstrates how to perform
- Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ...
- Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to
- Derek Murray discusses tf.data, the recommended API for building input pipelines in
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 Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).
Generating input data, running
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