Choices Hack

Explore/Exploit: Hyperparameter Tuning together with W&B Sweeps by Stacey Svetlichnaya

Choices Exploit

Choices Exploit


Keys and Diamonds Hack

Deep learning models are incredibly powerful but often tricky to adapt to new use cases. Whether you’re finetuning a pretrained net on new data, useing to build an intuition for a complex model, together with throwing a variety of architectures at a unique problem, hyperparameter exploration can help. I will share high-level toolroaches as well as useful visualizations for hyperparameter search, grounded in concrete examples from semantic segmentation, language understanding, as well as different domains. Though I will concentrate on Weights & Biases Sweeps as a comprehensive tool for together with the task, these practices are framework-agnostic, as well as I hope they can accelerate your progress regardless of your dev setup.

Stacey is a Deep Learning engineer at Weights & Biases. Previous She has worked extensively on image search, data pipelines, productionizing machine learning systems, as well as automating content discovery as well as recommendation on Flickr.

Follow Stacey on Twitter
https://twitter.com/metaphdor/

This presentation was a part of our Virtual Deep Learning Salon, to join for updates on these join our meetup as well as slack community!
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So guys I had my big boy pants on for together with the one. I was in a veteran dungeon as well as I was using an old exploit I used to use back in early access. I was feeling cocky then Darkest Dungeon’s turned the tables on me like nobodies business. Skip to the end for the fun bit.
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