Geometric Theories of Deep Learning

By


Geometric Deep Learning

Mathematical Foundations of Geometric Deep Learning

.

Comments

Post a Comment

Popular posts from this blog

A Heidegger - Bayes Hybrid Model

By
Image
A Conjecture for a Hybrid Model Bayesian epistemology concerns modelling and specifically, belief, but a Bayesian belief does not need to be fully formed to emerge alongside the Heideggerian to-hand. The Heideggerian to-hand thereby becomes the interaction that generates this further, which is, with this interaction, a certain realization of being in the world. Bayesian selection now concerns available beliefs as well as any to-hand [belief(s)]. How Heidegger Can Make You a Better Guitarist Bayesian Philosophy Bayesian Philosophy Bayesian Epistemology Bayesian Epistemology Bayesian Modelling Bayesian Modelling Bayesian Model Selection David Deutsch on Bayesian Epistemology Bayesian Philosophy of Science Bayesian Philosophy of Science A Bayesian Approach to the Philosophy of Science On Sean Carroll on an Application of Bayes The Heideggerian To-Hand On Heidegger On Heidegger Flipping Descartes Ready-to-Hand and Present-at-Hand Presence-at-Hand Ready-to-Hand and Unready-to-Hand Does Hei...
Read more

What Counts

By
Image
On Number Sense Numerosity Number Sense Counting Number Sense Number Number Sense and Counting Origin(s) of Number On Counting and Language Count Number on the Way to Language Numerical Thought With and Without Words A History of Counting On Communicating Communicating Number History of Writing Number Words Languages without Words for Number A Partial History of Counting Counting? Writing and Numbers Numbers and Language On Number Systems Number System Number Systems History of Numeral Systems Construction of the Natural Numbers Construction of Number Systems A Partial History of Numbers On Number Theory Number Theory Peano Axioms Peano On Difference Countable-Uncountable as a Problem On the History of Mathematics with Keith Devlin 1. Development 2. Golden Ratio 3. Algebra 4. ? .... ? 5. Ability On Non-Human Number Sense Animal Math Number Sense in Animals Counting Bee Animal Intelligence Yes, Animals Count Relationship Questions Is Counting Prior to Number? Is There Number without Lan...
Read more

Computing and the Linguistic Turn

By
Image
Enigma (Wikipedia) Symbolic analysis and statistical analysis were both approaches codebreakers took in breaking Enigma. The development of AI has also incorporated both approaches. One historical question for AI is why the dominance of Symbolic AI from 1950 to 1990? Note the development of AI out of the Dartmouth Workshop and especially the contributions of one of its attendees,  Ray Solomonoff , to the statistical approach, an approach taken up by Marcus Hutter , a DeepMind  researcher. Note too that along with the difference between the symbolic and the statistical is the difference between language learning and computer vision. The turn Richard Sutton takes is to push learning outside the context of language, which is to push computing beyond its linguistic turn. ~ * ~ The Bitter Lesson First Richard Sutton Richard Sutton Site On Learning as Other than a Mimicry of Language A Basis for Adjustment The Bitter Lesson ~ * ~ Tommy Flowers Tommy Flowers (Wikipedia) Tommy Flowe...
Read more