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 and Deep Learning
This lecture explores the recent explosion of interest in neural networks and deep learning in the context of 1) vast and increasing data sets, and 2) rapidly improving computational hardware, which have enabled the training of deep neural networks. Book website: http://databookuw.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
What is Neural Network in Machine Learning | Neural Network Explained | Neural Network | Simplilearn
This video by Simplilearn is based on Neural Networks in Machine Learning. This Neural Network in Machine Learning Tutorial will cover the fundamentals of Neural Networks along with theoretical and practical demonstrations for a better learning experience 🔥Enroll for Free Machine Learning
From playlist Machine Learning Algorithms [2022 Updated]
Cédric Villani - Introduction à la demie-journée #IAplusK
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From playlist Conférence IA / 16 et 17 novembre 2021 à l'IHP
Multilayer Neural Networks - Part 1: Introduction
This video is about Multilayer Neural Networks - Part 1: Introduction Abstract: This is a series of video about multi-layer neural networks, which will walk through the introduction, the architecture of feedforward fully-connected neural network and its working principle, the working prin
From playlist Neural Networks
29C3: INDECT, Verhaltenserkennung & Co (DE)
Speaker: Ben automatisierte staatliche Verdächtigung INFECT: "Bei der Forschung an unserem neuen Killervirus hat unsere Ethikkommission penibelst darauf geachtet, dass niemand der Forscher sich ansteckt." Obwohl sowohl Erfahrungen als auch Studien gezeigt haben, dass Videoüberwachung im
From playlist 29C3: Not my department
Intro to Neural Networks : Data Science Concepts
A gentle intro to neural networks. Perceptron Video : https://www.youtube.com/watch?v=4Gac5I64LM4 Logistic Regression Video : https://www.youtube.com/watch?v=9zw76PT3tzs My Patreon : https://www.patreon.com/user?u=49277905
From playlist Data Science Concepts
When to trust a self-driving car
2018 Milner Award Lecture given by Professor Marta Kwiatkowska. How can we ensure system correctness in the presence of uncertainty? Computing devices support us in almost all everyday tasks, from mobile phones and online banking to wearable and implantable medical devices. We are now ex
From playlist Latest talks and lectures
Explainable AI - The story behind XAI in 2022 (legal, ethical, commercial, risks)
Two beautiful examples show why we need an Explainable AI (XAI) system to protect our individual freedom and human rights in a digital / AI economy. Although it will cause significant additional work for us AI coder. The story behind XAI in 2022: The problem of social media input data.
From playlist Explainable AI (XAI) and Decision Intelligence (DI). Performance on Vision.
Künstliche Intelligenz - Wann übernehmen die Maschinen?
Univ.-Prof. em. Dr. Klaus Mainzer, Technische Universität München (TUM) und Gastwissenschaftler am Hausdorff Research Institute for Mathematics (HIM), sprach im Rahmen des Universitätsjubiläums zum Thema "Künstliche Intelligenz. Wann übernehmen die Maschinen?"" Der Vortrag befasst sich mi
From playlist Hausdorff Center goes public
ICM Public Lecture: Geordie Williamson
Geordie Williamson (University of Sydney Mathematical Research Institute) gives a lecture on Machine Learning as a Tool for the Mathematician, as part of the ICM 2022 Public Lecture Series, hosted by the London Mathematical Society.
From playlist ICM 2022 Public Lectures
Jeremy Rifkin on the Fall of Capitalism and the Internet of Things | Big Think
Jeremy Rifkin on the Fall of Capitalism and the Internet of Things Watch the newest video from Big Think: https://bigth.ink/NewVideo Join Big Think Edge for exclusive videos: https://bigth.ink/Edge ---------------------------------------------------------------------------------- Economic
From playlist Capitalism in the 21st century | Big Think
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
DDPS | Artificial Intelligence and Scientific Computing for Fluid Mechanics by Petros Koumoutsakos
Title: Artificial Intelligence and Scientific Computing for Fluid Mechanics Description: Over the last thirty years we have experienced more than a billion-fold increase in hardware capabilities and a dizzying pace of acquiring and transmitting massive amounts of data. Artificial Intellig
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Why does human intelligence beat AI? – with Gerd Gigerenzer
How does AI cope with decision-making in an uncertain world, when compared with the human brain? Watch the Q&A here: https://youtu.be/MpHFcTVZ6eY Gerd's book 'How to Stay Smart in a Smart World' is out now: https://geni.us/twcR Subscribe for regular science videos: http://bit.ly/RiSubscRi
From playlist Livestreams
Using Machine Learning to Diagnose Pneumonia
To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Rohit Panse Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices, and m
From playlist Wolfram Technology Conference 2018
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms