machine-learning (6 posts)

Deep learning needs a model, data, and optimization algorithm. Visualizing AI like a landscape can help build intuition for how these components interact. I plant some imaginary trees.

We try to avoid a jargon-induced coma. You get to impress your relatives with your new AI knowledge. And then some equations to keep the math people happy.

Previously on this blog I’ve discusses Markov chain Monte Carlo (MCMC) and how we can use it to estimate a complex posterior distribution we…

Sample from complex posteriors by just sampling from a simple Gaussian distribution?! Sign me up!

I’ve recently been reading about the JointVAE model proposed by Emilien Dupont in the paper Learning Disentangled Joint Continuous and…

How AI recognizes things it has only seen a handful of times, once, or not at all