Media Summary: Generating input data, running distributed Brennan Saeta walks through how to optimize training speed of your Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ...

Tensorflow High Level Apis Models In A Box Tensorflow Dev Summit 2017 - Detailed Analysis & Overview

Generating input data, running distributed Brennan Saeta walks through how to optimize training speed of your Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... In this talk, Eugene Brevdo discusses the creation of flexible and Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ...

Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to Derek Murray discusses tf.data, the recommended Sarah Sirajuddin and Andrew Selle discuss

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TensorFlow High-Level APIs: Models in a Box (TensorFlow Dev Summit 2017)
Distributed TensorFlow (TensorFlow Dev Summit 2018)
Introducing TensorFlow 2.0 and its high-level APIs (TF Dev Summit '19)
The Practitioner's Guide with TF High Level APIs (TensorFlow Dev Summit 2018)
TensorFlow Ecosystem: Integrating TensorFlow with your infrastructure (TensorFlow Dev Summit 2017)
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
Project Magenta (TensorFlow Dev Summit 2018)
Distributed TensorFlow (TensorFlow Dev Summit 2017)
TensorFlow high-level APIs: Part 1 - loading data
TensorFlow high-level APIs: Part 2 - going deep on data and features
TensorFlow Hub (TensorFlow Dev Summit 2018)
Sequence Models and the RNN API (TensorFlow Dev Summit 2017)
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