This has to be very expensive for companies. A good business for Google
It's great to see that other cloud providers are acknowledging the talent and training data gaps that many large enterprises face when adopting deep learning.
Disclaimer: I work for AWS
This is an externalization of the service we use at Google internally called Vizier[1], first discussed publicly in June[2].
The idea is that instead of having to build a model yourself, we can use ML (yes, it uses ML to provide ML) to autotune your model and solve your business problem. Basically, instead of having to deal with all the steps in opening an editor, choosing a algo, tweaking, debugging, etc etc, just provide your structured or unstructured data and we'll help you answer your question (which is what customers actually care about).
[1] https://research.google.com/pubs/pub46180.html [2] https://www.youtube.com/watch?v=Z2YL4XJKVpQ
This significantly reduces the level of expertise required to train models, and the AutoML models outperform "expert" human-created architectures.
Interesting! I read up on Sagemaker here[1] and didn't see any AutoML style training/tuning features, but you would certainly know better than me :)
(I know you are right, but so many people here think AutoML is exactly the same that the HPO they were doing since long time ago)
AutoML vision is actually built on Google Brain’s proprietary image recognition technology, and Vizier is one of the components of their broader solution. You can see their earlier research announcement here[1]. Sorry to leave off the additional teams that helped in building this!
[1] https://research.googleblog.com/2017/05/using-machine-learni...