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3min chapter
ICLR 2020: Yann LeCun and Energy-Based Models
Machine Learning Street Talk (MLST)
Deep Learning Is Akin to a Linear Classifier
Deep learning is a little bit like imagine have a piece of paper that's been scrunched up into a ball. Ultimately, if you unfold all this through your neural network, and then you make a linear cut, which is what the supervised methods we have nowadays do. At the end, the data manifold,. so to say, is when you trace that cut backwards through all the layers, through this folding, and look at it in the input space. That's, that's basically what your neural network learns is whatever that cuts going to end op being in the inputspacei exactly.
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