Reader Notes: Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).
Tensorflow Hub Tensorflow Dev Summit 2018 - Topic Context Overview
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Topic Context Overview
Getting the most out of Machine Learning models requires careful tuning of many knobs. Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around
Topic Why It Matters
Magenta explores the role of ML in the process of creating art and music. Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ...
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Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ...
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Main details to review
- 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.
- Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around
- Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ...
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