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2min chapter
ICLR 2020: Yann LeCun and Energy-Based Models
Machine Learning Street Talk (MLST)
Using a Litten Variable in Machine Learning
In k means, i i simply want to create a function that is happy with any point in the data distribution. But because iam not normalizing in k means, it is an energy based method and not a probabilistic method. So one way to handle multiple otputs is to to the use of litin variable. If we're going to build our mac out of e determinative functions, the the way to allow a machine to produce multiple outputs for a single input is to pimatrize the set of inputs through a litten variable.
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