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I'm a bit confused. Doesn't the data need to be cleaned up, annotated, or labelled before it can be used to train? How would this work if the data doesn't leave
by Fricken 10y ago
I'm a bit confused. Doesn't the data need to be cleaned up, annotated, or labelled before it can be used to train? How would this work if the data doesn't leave the local device?
- vitohuang 10y agoIt did mentioned a local version of mini TensorFlow, I would guess the data is cleaned up on local devices and only updates are send back to the cloud.
- jd20 10y agoSounded like the label for training is the user's action (whether they chose the suggestion provided or not). Then they collect the model updates in bulk from millions of users, that's far more useful for training purposes than a small very well curated data set.
- amelius 10y agoThere is a branch called unsupervised learning, where no labeling is needed.
- ska 10y agoThere is, but supervised and unsupervised learning mostly don't solve the same problems - so this doesn't necessarily help
- bryanrasmussen 10y agoas I understand what I read the data does leave, but just the users updates - sort of like only your changes to a git a branch are sent when you push.