Listen now | Perhaps you were looking for a bit more of a deep dive about deep generative models than will be contained in this relatively short missive. You could go check out Stanford University’s CS236 from Fall 2021 course [1]. That would help you begin to figure out just how unsupervised learning could be used to figure out the data distribution well enough to generate predicted other data elements. The content is broken up into 5 sections and you could contribute to the class GitHub if you wanted to provide feedback or improvement suggestions. Alternatively, you could learn more about this one from Prakash Pandey over at Towards Data Science from back in 2018 [
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Deep generative models
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Listen now | Perhaps you were looking for a bit more of a deep dive about deep generative models than will be contained in this relatively short missive. You could go check out Stanford University’s CS236 from Fall 2021 course [1]. That would help you begin to figure out just how unsupervised learning could be used to figure out the data distribution well enough to generate predicted other data elements. The content is broken up into 5 sections and you could contribute to the class GitHub if you wanted to provide feedback or improvement suggestions. Alternatively, you could learn more about this one from Prakash Pandey over at Towards Data Science from back in 2018 [