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Last Updated: June 13, 2026
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TensorFlow Hub (TensorFlow Dev Summit 2018)
TensorFlow Hub for real world impact | Session
TensorFlow Dev Summit 2018 - Livestream
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Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ...
Derek Murray discusses tf.data, the recommended API for building input pipelines in Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to We have seen tremendous advances in many different areas of machine learning. The use of In this talk we'll go over some interesting features of TF which are useful when doing research. Speaker: Alexandre Passos ... Ian Langmore reconstructs plasma temperature, density, and B-field from measurements in partnership with tae.com. This is a ...
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