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Afaik this was stated in my Intro to ML course. A kernel machine can do anything when the similarity function has infinite dimensions. Similarly, I think they m
by zaptrem 3y ago
Afaik this was stated in my Intro to ML course. A kernel machine can do anything when the similarity function has infinite dimensions. Similarly, I think they mentioned an infinitely wide MLP is also all you need.
Also, this all breaks down when you introduce reinforcement learning methods.
- dartos 3y agoWhat do you mean breaks down?
- ultra_nick 3y agoBreaks. Methods that expect the same input to map to the same output don't work with feedback.
- zaptrem 3y agoThere's no longer a concept of training examples to be close to, since it's just going along the gradient of high reward actions in the RL environment and going away from those with low reward.
- nsenifty 3y ago> Afaik this was stated in my Intro to ML course. Isbell?