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2min chapter
061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)
Machine Learning Street Talk (MLST)
The Latent Space Is a Convex Node, So What Is the Difference?
The embedding ace is also highly distributed, and we were wondering, am, you know, can you give us some intuition here? So, is the information likely to be quite evenly distributed over the layton, or do you think it's actually quite bunched up and sparsely inclodedin in few of the features? Er, so, a, san this folepon on which traning setting you use, right? But then with cross on tropilos, letse your gregan to vanish as you become really good. And even if it means learning redundant er dimensions, if this can reduce your lows further at a more rapid rate, that's what you will do
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