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Another resource - https://sigopt.com/ https://sigopt.com/, in the vein of Whetlab. e.g. For NLP: * https://aws.amazon.com/blogs/ai/fast-cnn-tuning-with-aws-
by putnam 9y ago
Another resource - https://sigopt.com/ https://sigopt.com/, in the vein of Whetlab.
e.g. For NLP:
*
https://aws.amazon.com/blogs/ai/fast-cnn-tuning-with-aws-gpu-instances-and-sigopt/ https://aws.amazon.com/blogs/ai/fast-cnn-tuning-with-aws-gpu...
Disclaimer: they did share free trials with some of our students.
- stared 9y agoIt looks interesting, and talk with these guys (including the author) on a conference (GPU Tech Conf in San Jose). However, for other much more transparent systems, I am kind of anxious to add a black box. Especially as most of neural network tweaking go well beyond hyperparameter tweaking - one need to adjust architecture, make sensible cross-validation, good augmentation, etc.