Computing Limits from a Graph with Infinities
In this video I do an example of computing limits from a graph with infinities.
From playlist Limits
This video covers the properties of limits and verifies them graphically.
From playlist Limits
Limit of (4u^4 + 5)/((u^2 - 2)(2u^2 - 1)) as u approaches infinity
Limit of (4u^4 + 5)/((u^2 - 2)(2u^2 - 1)) as u approaches infinity. This is a calculus problem where we find a limit as u approaches infinity. In this case we have a rational function and the numerator and denominator have the same growth rate, so the limit is the ratio of the leading coef
From playlist Limits at Infinity
Introduction to Limits at Infinity (Part 1)
This video introduces limits at infinity. https://mathispower4u.com
From playlist Limits at Infinity and Special Limits
Calculus 1: Limits & Derivatives (12 of 27) When the Limit = Infinity (Vertical Asymptotes)
Visit http://ilectureonline.com for more math and science lectures! In this video I will calculate the limit of a function where the limit = infinity because of the vertical asymptotes. Next video in the series can be seen at: http://youtu.be/CRj1Uyyjn3Q
From playlist CALCULUS 1 CH 1 LIMITS & DERIVATIVES
Support Vector Machines (2): Dual & soft-margin forms
Lagrangian optimization for the SVM objective; dual form of the SVM; soft-margin SVM formulation; hinge loss interpretation
From playlist cs273a
Paris Perdikaris: "Overcoming gradient pathologies in constrained neural networks"
Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to Governing Equations to Laws of Nature "Overcoming gradient pathologies in constrained neural networks" Paris Perdikaris - University of Penns
From playlist Machine Learning for Physics and the Physics of Learning 2019
Towards Analyzing Normalizing Flows by Navin Goyal
Program Advances in Applied Probability II (ONLINE) ORGANIZERS Vivek S Borkar (IIT Bombay, India), Sandeep Juneja (TIFR Mumbai, India), Kavita Ramanan (Brown University, Rhode Island), Devavrat Shah (MIT, US) and Piyush Srivastava (TIFR Mumbai, India) DATE & TIME 04 January 2021 to 08 Janu
From playlist Advances in Applied Probability II (Online)
Use Limit Laws (Properties) to Determine Limits
This video explains how to determine limits using limit laws (properties).
From playlist Limits
Stanford CS230: Deep Learning | Autumn 2018 | Lecture 4 - Adversarial Attacks / GANs
Andrew Ng, Adjunct Professor & Kian Katanforoosh, Lecturer - Stanford University http://onlinehub.stanford.edu/ Andrew Ng Adjunct Professor, Computer Science Kian Katanforoosh Lecturer, Computer Science To follow along with the course schedule and syllabus, visit: http://cs230.stanfo
From playlist Stanford CS230: Deep Learning | Autumn 2018
On the structure of measures constrained by linear PDEs – Guido De Philippis – ICM2018
Partial Differential Equations | Analysis and Operator Algebras Invited Lecture 10.3 | 8.3 On the structure of measures constrained by linear PDEs Guido De Philippis Abstract: The aim of this talk is to present some recent results on the structure of the singular part of measures satisfy
From playlist Partial Differential Equations
Proximal Policy Optimization (PPO) is Easy With PyTorch | Full PPO Tutorial
Proximal Policy Optimization is an advanced actor critic algorithm designed to improve performance by constraining updates to our actor network. It's relatively straight forward to implement in code, and in this full tutorial you're going to get a mini lecture covering the essential concep
From playlist Deep Reinforcement Learning Tutorials - All Videos
Rémi Bardenet: A tutorial on Bayesian machine learning: what, why and how - lecture 2
HYBRID EVENT Recorded during the meeting "End-to-end Bayesian Learning Methods " the October 25, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM's
From playlist Mathematical Aspects of Computer Science
Deep Delay Autoencoders Discover Dynamical Systems w Latent Variables: Deep Learning meets Dynamics!
Video abstract for "Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders" by Joseph Bakarji, Kathleen Champion, J. Nathan Kutz, Steven L. Brunton https://arxiv.org/abs/2201.05136 https://www.josephbakarji.com/ A central challenge in data-driven model d
From playlist Research Abstracts from Brunton Lab
Unit 1 - constrained optimization part 3
From playlist Courses and Series
Priya Donti - Optimization-in-the-loop AI for energy and climate - IPAM at UCLA
Recorded 28 February 2023. Priya Donti of Cornell University presents "Optimization-in-the-loop AI for energy and climate" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Abstract: Addressing climate change will require concerted action across society, including the d
From playlist 2023 Artificial Intelligence and Discrete Optimization
Limit of functions of two variables. We show how to prove a limit does not exist. Free ebook http://tinyurl.com/EngMathYT
From playlist Several Variable Calculus / Vector Calculus
Isotonic regression in general dimensions – Richard Samworth, University of Cambridge
Many problems in science and engineering involve an underlying unknown complex process that depends on a large number of parameters. The goal in many applications is to reconstruct, or learn, the unknown process given some direct or indirect observations. Mathematically, such a problem can
From playlist Approximating high dimensional functions