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Day 17: trying to wrap my head around autoencoders

from Rc-2020 on Julia Evans [alt+shift+b] in programming

Hello! Right now I’m back to working on neural networks with sketches of faces. current goal: cluster the faces somehow As a starting point, I thought it’d be fun to, instead of generating faces, get the neural network to do some unsupervised clustering of the faces! The idea is: Get the Machine Learning to cluster the faces into groups See if I like the faces in some groups more than others If I do, then maybe just train a model on the cluster of faces that I like how do you actually do clustering of a sequence of vectors though? The usual way to do clustering is with k-means or something, but these drawings of faces aren’t a single vector, they’re a sequence of vectors! So k-means wouldn’t make any sense.
1st Dec 2020

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