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The Complete Guide to Generative Adversarial Networks [GANs]
| | distill.pub
Open Questions about Generative Adversarial Networks
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| | What we'd like to find out about GANs that we don't know yet.
| | www.unite.ai
Generative vs. Discriminative Machine Learning Models - Unite.AI
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| | Some machine learning models belong to either the generative or discriminative model categories. Yet what is the difference between these two categories of models? What does it mean for a model to be discriminative or generative? The short answer is that generative models are those that include the distribution of the data set, returning a []
| | dennybritz.com
Deep Learning ideas that have stood the test of time ยท Denny's Blog
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| | Deep Learning is such a fast-moving field and the huge number of research papers and ideas can be overwhelming.
| | jaketae.github.io
From ELBO to DDPM - Jake Tae
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| In this short post, we will take a look at variational lower bound, also referred to as the evidence lower bound or ELBO for short. While I have referenced ELBO in a previous blog post on VAEs, the proofs and formulations presented in the post seems somewhat overly convoluted in retrospect. One might consider this a gentler, more refined recap on the topic. For the remainder of this post, I will use the terms "variational lower bound" and "ELBO" interchangeably to refer to the same concept. I was heavily inspired by Hugo Larochelle's excellent lecture on deep belief networks.