This lecture gives an overview of neural networks, which play an important role in machine learning today. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
Neural Networks 1 Neural Units
From playlist Week 5: Neural Networks
Neural Network Architectures & Deep Learning
This video describes the variety of neural network architectures available to solve various problems in science ad engineering. Examples include convolutional neural networks (CNNs), recurrent neural networks (RNNs), and autoencoders. Book website: http://databookuw.com/ Steve Brunton
From playlist Data Science
Transport Layer In Computer Network | OSI Model | Transport Layer | Computer Networks | Simplilearn
Transport Layer In OSI Model by simplilearn is a Computer networking-oriented tutorial that explains the fundamentals of the Transport Layer in Computer networks. The transport layer handles the error detection and verification of the data shared by the upper layers of the OSI model for be
From playlist Networking
Application Layer In Computer Network | OSI Model | Computer Networks | Simplilearn
In this video on "Application Layer In Computer Network," we will look into the functions and features of the application layer in the network model and the effect of applying the application layer services and protocols over the network data. Topics covered in this video on "Application
From playlist Networking
More Info: https://www.caltech.edu/about/news/where-are-my-keys-and-other-memory-based-choices-probed-brain The brain’s memory-retrieval network is composed of many interacting regions. In a new study, Caltech researchers looked at the interaction between two nodes in this network: the me
From playlist Our Research
Dynamics of Deep Neural Networks--A Fourier Analysis Perspective-Yaoyu Zhang
Short talks by postdoctoral members Topic: Dynamics of Deep Neural Networks--A Fourier Analysis Perspective Speaker: Yaoyu Zhang Affiliation: Member, School of Mathematics Date: October 4, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
The Technology of Optical Superoscillations by Nikolay I Zheludev
DISCUSSION MEETING STRUCTURED LIGHT AND SPIN-ORBIT PHOTONICS ORGANIZERS: Bimalendu Deb (IACS Kolkata, India), Tarak Nath Dey (IIT Guwahati, India), Subhasish Dutta Gupta (UOH, TIFR Hyderabad, India) and Nirmalya Ghosh (IISER Kolkata, India) DATE: 29 November 2022 to 02 December 2022 VE
From playlist Structured Light and Spin-Orbit Photonics - Edited
Transdifferentiation and oscillatory states in gene regulatory networks by Mithun Kumar Mitra
Indian Statistical Physics Community Meeting 2016 URL: https://www.icts.res.in/discussion_meeting/details/31/ DATES Friday 12 Feb, 2016 - Sunday 14 Feb, 2016 VENUE Ramanujan Lecture Hall, ICTS Bangalore This is an annual discussion meeting of the Indian statistical physics community wh
From playlist Indian Statistical Physics Community Meeting 2016
Explosive death in coupled oscillators by Manish Shrimali
PROGRAM DYNAMICS OF COMPLEX SYSTEMS 2018 ORGANIZERS Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE: 16 June 2018 to 30 June 2018 VENUE: Ramanujan hall for Summer School held from 16 - 25 June, 2018; Madhava hall for W
From playlist Dynamics of Complex systems 2018
Deep Learning Lecture 3.2 - Neural Network Basics
Deep Learning Lecture - Neural Network Intro: - Artifical neurons - Perceptron - Multiplayer perceptron / dense neural networks - Activation functions
From playlist Deep Learning Lecture
Generative Model Basics - Unconventional Neural Networks p.1
Hello and welcome to a series where we will just be playing around with neural networks. The idea here is to poke around with various neural networks, doing unconventional things with them. Doing things like trying to teach a sequence to sequence model math, doing classification with a gen
From playlist Unconventional Neural Networks
How do psychedelic drugs work on the brain?
Dr Robin Carhart-Harris talks about his scientific research into the effects and potential therapeutic uses of psychedelic drugs. Join him as he discusses brain imaging work involving psilocybin, the active ingredient of magic mushrooms, and explains how the drug works in the brain. For m
From playlist Cannabis
Arkady Pikovsky - Inferring coupled oscillatory dynamics from data - IPAM at UCLA
Recorded 30 August 2022. Arkady Pikovsky of Universität Potsdam presents "Inferring coupled oscillatory dynamics from data" at IPAM's Reconstructing Network Dynamics from Data: Applications to Neuroscience and Beyond. Abstract: In the analysis of oscillatory processes, one needs a good est
From playlist 2022 Reconstructing Network Dynamics from Data: Applications to Neuroscience and Beyond
DDPS | 'No Equations, No Variables, No Parameters, No Space and No time' by Yannis Kevrekidis
Title: 'No Equations, No Variables, No Parameters, No Space and No time, Data and the Modeling of Complex Systems' Description: I will start by showing how several successful NN architectures (ResNets, recurrent nets, convolutional nets, autoencoders, neural ODEs, operator learning....) h
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Bao Wang: "Momentum in Stochastic Gradient Descent and Deep Neural Nets"
Deep Learning and Medical Applications 2020 "Momentum in Stochastic Gradient Descent and Deep Neural Nets" Bao Wang - University of California, Los Angeles (UCLA), Mathematics Abstract: Stochastic gradient-based optimization algorithms play perhaps the most important role in modern machi
From playlist Deep Learning and Medical Applications 2020
Twelfth Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series Talk
Date: Wednesday, February 3, 2021, 10:00am EDT Speaker: Laurent Demanet, Massachusetts Institute of Technology Title: Imaging from deepfake data Abstract: Neural networks might have an interesting and surprising role to play in the context of imaging/inversion from sensor data and physi
From playlist Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series
Aretha Teckentrup: Numerical analysis of Gaussian process regression
LMS Computer Science Colloquium 2021
From playlist LMS Computer Science Colloquium Nov 2021
This lecture discusses some key limitations of neural networks and suggests avenues of ongoing development. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science