Main Takeaway: Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ...
Tensorflow Lite 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 ... Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).
Important details found
- Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ...
- Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ...
- Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).
- Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to
- Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around
Why this topic is useful
This topic is useful when readers need a quick overview first, then want to move into supporting details and related references.
Frequently Asked Questions
Why are related topics included?
Related topics help readers compare nearby references and understand the broader subject.
What is this page about?
This page summarizes Tensorflow Lite Tensorflow Dev Summit 2018 and connects it with related entries, references, and supporting context.
Is the information always complete?
Not always. Some topics may need verification from official or primary sources.
