Category Theory 3.1: Examples of categories, orders, monoids
Examples of categories, orders, monoids.
From playlist Category Theory
HTML5 CSS3 tutorial - Defining and applying a CSS class
This tutorial explains the concept of classes in CSS and how to apply it to different tags.
From playlist HTML5 and CSS3
Bayes Classifiers; Bayes rule; discrete and Gaussian class-conditional distributions
From playlist cs273a
Category Theory 1.2 : Examples of Categories and Clarification
In this video, I clarify some terminology, and show some very important examples of categories. This includes the category of groups, sets, topologic spaces, monoids, modules, and rings. I also discuss the relation between categories and individual groups, preorders, matrices, and ordinals
From playlist Category Theory
Biological Classification of Hierarchy || #Shorts || Deveeka Ma'am || Infinity Learn Class 9&10
Biological classification is the scientific method of organizing and categorizing living organisms based on shared characteristics. This system allows us to study the diversity of life on Earth and understand how different species are related to one another. The hierarchy of biological cla
From playlist Shorts
Category theory for JavaScript programmers #19: some formality around categories
http://jscategory.wordpress.com/source-code/
From playlist Category theory for JavaScript programmers
This video is part of the Udacity course "Deep Learning". Watch the full course at https://www.udacity.com/course/ud730
From playlist Deep Learning | Udacity
Spotlight Talks - Amir Asadi, Dimitris Kalimeris
Workshop on Theory of Deep Learning: Where next? Topic: Spotlight Talks Speaker: Amir Asadi, Dimitris Kalimeris Date: October 15, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
Building and Training Basic Neural Networks
http://www.wolfram.com/training/ The Wolfram Language neural network framework provides symbolic building blocks to build, train and tune a network, as well as automatically process input and output using encoders and decoders. Learn how to do this in steps, along with examples of logisti
From playlist Building Blocks for Neural Nets and Automated Machine Learning
Anton Kapustin - Higher Symmetry, TQFT, and Gapped Phases of Matter
Anton KAPUSTIN (Caltech, Pasadena, USA)
From playlist Algèbre, Géométrie et Physique : une conférence en l'honneur
Modeling Strategies | Stanford CS224U Natural Language Understanding | Spring 2021
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai To learn more about this course visit: https://online.stanford.edu/courses/cs224u-natural-language-understanding To follow along with the course schedule and s
From playlist Stanford CS224U: Natural Language Understanding | Spring 2021
CS231n Lecture 4 - Backpropagation, Neural Networks
Backpropagation Introduction to neural networks
From playlist CS231N - Convolutional Neural Networks
Markov Chains - Part 9 - Limiting Matrices of Absorbing Markov Chains
Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Markov Chains - Part 9 - Limiting Matrices of Absorbing Markov Chains. Here we look at finding the limiting matrix of an absorbing Markov chain in an applied
From playlist All Videos - Part 1
John Greenlees: The singularity category of C^*(BG) for a finite group G
SMRI Algebra and Geometry Online John Greenlees (Warwick University) Abstract: The cohomology ring H^*(BG) (with coefficients in a field k of characteristic p) is a very special graded commutative ring, but this comes out much more clearly if one uses the cochains C^*(BG), which can be vi
From playlist SMRI Algebra and Geometry Online
Graham ELLIS - Computational group theory, cohomology of groups and topological methods 4
The lecture series will give an introduction to the computer algebra system GAP, focussing on calculations involving cohomology. We will describe the mathematics underlying the algorithms, and how to use them within GAP. Alexander Hulpke's lectures will being with some general computation
From playlist École d'Été 2022 - Cohomology Geometry and Explicit Number Theory
Lewis Bowen - Classification of Bernoulli shifts
November 20, 2015 - Princeton University Bernoulli shifts over amenable groups are classified by entropy (this is due to Kolmogorov and Ornstein for Z and Ornstein-Weiss in general). A fundamental property is that entropy never increases under a factor map. This property is violated for no
From playlist Minerva Mini Course - Lewis Bowen
Sam Fisher: Fibring of RFRS groups
Sam Fisher, University of Oxford Title: Fibring of RFRS groups A group $G$ is said to algrebraically fibre if it admits an epimorphism to $\mathbb{Z}$ with finitely generated kernel. The motivation for this definition comes from a result of Stallings, which states that if $G$ is the fundam
From playlist 39th Annual Geometric Topology Workshop (Online), June 6-8, 2022