Neural Nets

Function approximators.

The edge of chaos Computation, evolution, competition and other past-times of faculty 2016-12-01 – 2022-10-30
Pytorch #torched 2018-05-04 – 2022-10-23
Neural denoising diffusion models Denoising diffusion probabilistic models (DDPMs), score-based generative models, generative diffusion processes, neural energy models… 2021-11-11 – 2022-09-24
Transformer networks The transformer-powered subtitle recommendation for this article was “Our most terrifyingly effective weapon against the forces of evil is our ability to laugh at them.” 2017-12-20 – 2022-08-23
Technological singularities Incorporating hard AI take-offs, game-over high scores, the technium, deus-ex-machina, deus-ex-nube, nerd raptures and so forth 2016-12-01 – 2022-08-10
Neural nets with implicit layers Also, declarative networks, bi-level optimization and other ingenious uses of the implicit function theorem 2020-12-08 – 2022-08-09
ML on small devices Putting intelligence on chips small enough to be in disconcerting places 2016-10-14 – 2021-07-13
Tensorflow The framework to use for deep learning if you groupthink like Google 2016-07-11 – 2021-07-07
ML Koans Passing through the NAND-gate 2021-06-23
Compressing neural nets pruning, compacting and otherwise fitting a good estimate into fewer parameters 2016-10-14 – 2021-05-07
Dimensionality reduction Wherein I teach myself, amongst other things, feature selection, how a sparse PCA works, and decide where to file multidimensional scaling 2015-03-22 – 2020-09-11
Neural nets Designing the fanciest usable differentiable loss surface 2016-10-14 – 2020-09-09
Learning of manifolds Also topological data analysis; other hip names to follow 2014-08-19 – 2020-06-23