5min chapter

Machine Learning Street Talk (MLST) cover image

ICLR 2020: Yoshua Bengio and the Nature of Consciousness

Machine Learning Street Talk (MLST)

CHAPTER

Generalization in Machine Learning

We're very close to building a robot that can go into any room and bring you a cup of coffee, like something go explore. Combined with some model predictive control, it'll soon be able to do that. But i think chalet would say that there waste at coffee cup challenges broad generalization - the ability to handle situations that could not have been foreseen by the creators of the system. Incil is really sceptical about deep lining models vers problistic moy doesn't ist. One of the imputs alway is that that's still what programmers need for training data or one is learned from another. Oka the scale is different. It's just oka

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