Matrix Factorization For k-Means
Data Skeptic
00:00
Soft Max Base Classification Is K Means Clustering?
soft max basically does is at compares the embedded lecture of your input to certain other vectors. So after you imbedded your poins, if the classes are represented by cones, so it's like a vono cell distribution. Soft max formula itself then computes some inner product and then applies some other functions to it. And what that means is that your classification in the pen ultimate layer.
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