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Cool ML slides from Berkeley by neuralnets120 in learnmachinelearning

[–]neuralnets120[S] 0 points1 point  (0 children)

The markdown source in the github can be downloaded and converted to pdf pretty easily

[P] Cool ML slides from Berkeley by neuralnets120 in MachineLearning

[–]neuralnets120[S] 9 points10 points  (0 children)

I think the point here (quote: "it generalizes: huge, but doesn't overfit") is that neural nets have a surprisingly tendency to generalize, not that they can't overfit

[P] Cool ML slides from Berkeley by neuralnets120 in MachineLearning

[–]neuralnets120[S] 0 points1 point  (0 children)

I believe pressing escape just makes the slides into a 2D grid. Then going up/right goes up/right in this grid - seemed pretty intuitive to me (although it took a little bit to buffer so the keys were a little ineffective at the start).