Short Overview: 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 -
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). Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around
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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 ...
- Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).
- Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around
- Getting the most out of Machine Learning models requires careful tuning of many knobs.
- Derek Murray discusses tf.data, the recommended API for building input pipelines in
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