Submitted by zanzagaes2 t3_10xt36j in MachineLearning
zanzagaes2 OP t1_j7w5sr1 wrote
Reply to comment by lonelyrascal in [P] Creating an embedding from a CNN by zanzagaes2
I will try encoder-decoder architecture, mainly to try to improve the embedding. Right now asymptotics of PCA have not proven a problem, sklearn implementation performs PCA on ~1.000 features vectors almost immediately.
Do you have any reference on any encoder-decoder architecture I can use?
lonelyrascal t1_j7wp5yv wrote
Ok cool. Yeah keras has basic encoder decoder architecture in its documentation. If that's not something you like, you can always ask chatGPT ;)
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