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Episode 32: Jamie Simon, UC Berkeley: On theoretical principles for how neural networks learn and generalize

Generally Intelligent

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Percolation Theory and the Lost Landscape

There's a path through this hydrometional space. And actually, these paths are really simple. You can usually find a path that only has one kink. It's just piecewise linear with two lines. But it seemed to me like clearly this is a little of high dimensionality. Just like with the fact that they're no bad local minima and high few dimensions well if you have a million them choose from probably you'll find a path from point A to point B err. We'll find a piecewise path where only a small fraction of samples are ever misclassified along the wall. This was interesting to me because they appealed a very u. I was like obsessed with

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