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[P] Train CIFAR10 to 94% in 26 SECONDS on a single-GPU

In this blog post, the author introduces a bag of standard and not-so-standard tricks to reduce training time to 34s of a Resnet model on CIFAR10 dataset, or 26s with test-time augmentation.

 

Blog post: https://myrtle.ai/how-to-train-your-resnet-8-bag-of-tricks/

Colab notebook: https://colab.research.google.com/github/davidcpage/cifar10-fast/blob/master/bag_of_tricks.ipynb

 

Author: David Page

Original tweet: https://twitter.com/dcpage3/status/1163563850442182657

submitted by /u/youali
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.