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Chris has been busy with PyTorch again! In part 2b we will learn how to create 3d maps of our latent spaces, even if those spaces themselves have a couple hundred dimensions. We will also compare the latent space of our own custom net to OpenAI’s Clip model as well as some good old fashioned algorithms to see, who can represent our datasets the best.

Kaggle Notebook on Autoencoders and TSNE

UMAP explainer by StatQuest

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