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Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)
Collaborative ML with TensorBoard.dev (TF Dev Summit '20)
Mobile and Embedded TensorFlow (TensorFlow Dev Summit 2017)
TensorFlow High-Level APIs: Models in a Box (TensorFlow Dev Summit 2017)
Distributed TensorFlow (TensorFlow Dev Summit 2017)
Hands-On Deep Learning with TensorFlow 2.0: Introduction to TensorBoard | packtpub.com
TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)
Serving Models in Production with TensorFlow Serving (TensorFlow Dev Summit 2017)
TensorFlow at DeepMind (TensorFlow Dev Summit 2017)
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Last Updated: October 2, 2026
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Generating input data, running distributed Sharing experiment results is an important part of the ML process. This talk shows how In this video we learn how to use various parts of This video tutorial has been taken from Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around Serving is the process of applying a trained model in your application. In this talk, Noah Fiedel describes In this talk, Daniel Visentin from the DeepMind Applied team talks about DeepMind and
Hands On Tensorboard Tensorflow Dev Summit 2017.pdf
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