Artificial neural networks | Computational statistics

History of artificial neural networks

The history of artificial neural networks (ANN) began with Warren McCulloch and Walter Pitts (1943) who created a computational model for neural networks based on algorithms called threshold logic. This model paved the way for research to split into two approaches. One approach focused on biological processes while the other focused on the application of neural networks to artificial intelligence. This work led to work on nerve networks and their link to finite automata. (Wikipedia).

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Neural Networks 1: a 3-minute history

Artificial Neural Networks (ANNs) were pioneered in 1940s, received a lot of hype in the 1950s, were re-discovered in the 1980s with the Backpropagation algorithm, and are now transforming the field of Machine Learning

From playlist Neural Networks and Backpropagation

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Deep Learning with Neural Networks and TensorFlow Introduction

Welcome to a new section in our Machine Learning Tutorial series: Deep Learning with Neural Networks and TensorFlow. The artificial neural network is a biologically-inspired methodology to conduct machine learning, intended to mimic your brain (a biological neural network). The Artificial

From playlist Machine Learning with Python

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Neural Networks (Part 1)

In this video, I present some applications of artificial neural networks and describe how such networks are typically structured. My hope is to create another video (soon) in which I describe how neural networks are actually trained from data.

From playlist Machine Learning

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Neural Network Overview

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

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Brief History of Signal Processing

http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Describes several key events in development of the field of signal processing.

From playlist Introduction and Background

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22. Neural Networks

Neural networks have been the come-back kids of machine learning. They were invented in the 80s, but surged back into the limelight in the late 90s to become a powerful tool at the heart of deep learning. This video describes what neural networks are, how they work in materials informatics

From playlist Materials Informatics

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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

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Welcome - Intro to Algorithms

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

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How Do Neural Networks Grow Smarter? - with Robin Hiesinger

Neurobiologists and computer scientists are trying to discover how neural networks become a brain. Will nature give us the answer, or is it all up to an artificial intelligence to work it out? Watch the Q&A: https://youtu.be/DoTSICEUm90 Get Robin's Book: https://geni.us/5wIuX0W Join Peter

From playlist Livestreams

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Neural Network In Artificial Intelligence | Neural Network Explained | Neural Network | Simplilearn

Neural Network in artificial intelligence by simplilearn is a tutorial based on the fundamentals of neural network programming. In this video, we are going to discuss the role of *Neural Network in Artificial Intelligence* in different fields.This video will give idea on how neural network

From playlist Deep Learning Tutorial Videos ๐Ÿ”ฅ[2022 Updated] | Simplilearn

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Who Invented A.I.? - The Pioneers of Our Future

--- About ColdFusion --- ColdFusion is an Australian based online media company independently run by Dagogo Altraide since 2009. Topics cover anything in science, technology, history and business in a calm and relaxed environment. If you enjoy my content, please consider subscribing! I'm

From playlist New Thinking: Season 2

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4.1 - A Brief History of AI

Information Service Engineering 2021 Prof. Dr. Harald Sack Karlsruhe Institute of Technology Summer semester 2021 Lecture 10: Basic Machine Learning - 1 4.1 A Brief History of AI - The success story of machine learning - Donald Hebb and the neuron - McCulloch & Pitts and the artificial n

From playlist ISE2021 - Lecture 10 - 23.06.2021

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AI History | Stanford CS221: AI (Autumn 2021)

For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) https://profiles.stanford.edu/percy-liang Assistant Professor

From playlist Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2021

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Data Science - Part VIII - Artifical Neural Network

For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of biological based learning in the brain and how to simulate this approach thr

From playlist Data Science

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AI vs ML vs Deep Learning | Difference between AI, ML and DL | AI-ML Training | Edureka Rewind

๐Ÿ”ฅEdureka NIT Warangal Post Graduate Program on AI and Machine Learning: https://www.edureka.co/nitw-ai-ml-pgp This Edureka Machine Learning tutorial on "AI vs ML vs Deep Learning" talks about the differences and relationship between AI, Machine Learning and Deep Learning. ๐Ÿ”ท๐Ÿ”ธ๐Ÿ”ท๐Ÿ”ธ๐€๐›๐จ๐ฎ๐ญ ๐ญ๐ก๐ž

From playlist Data Science Training Videos

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AI vs ML vs Deep Learning | Difference between AI, ML and DL | AI-ML Training | Edureka

๐Ÿ”ฅEdureka NIT Warangal Post Graduate Program on AI and Machine Learning: https://www.edureka.co/nitw-ai-ml-pgp This Edureka Machine Learning tutorial on "AI vs ML vs Deep Learning" talks about the differences and relationship between AI, Machine Learning and Deep Learning. ๐Ÿ”ท๐Ÿ”ธ๐Ÿ”ท๐Ÿ”ธ๐€๐›๐จ๐ฎ๐ญ ๐ญ๐ก๐ž

From playlist Edureka Live Classes 2020

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What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginners | Edureka

( TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow ) This video on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. The video covers the following topics: 1. AI as a threat 2. What is AI? 3. His

From playlist Deep Learning With TensorFlow Videos

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Deep Learning State of the Art (2020)

Lecture on most recent research and developments in deep learning, and hopes for 2020. This is not intended to be a list of SOTA benchmark results, but rather a set of highlights of machine learning and AI innovations and progress in academia, industry, and society in general. This lecture

From playlist AI talks

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History of computers - A Timeline

A timeline from the first computer, The Turing Machine, to the 1970's. Hope you guys enjoy,and make sure to subscribe and like! Adding subtitles for our video is welcomed! Your translation can help people around the world see our awesome videos! http://www.youtube.com/timedtext_cs_panel?c

From playlist Computers

Related pages

Deep learning | Convolutional neural network | Linear classifier | Rprop | Expert system | Generative model | Support vector machine | Connectionism | CMOS | Neocognitron | Vanishing gradient problem | Feedforward neural network | Long short-term memory | Recurrent neural network | Group method of data handling | Restricted Boltzmann machine | Hidden Markov model | Artificial intelligence | Convolution | Perceptron | Backpropagation | Algorithm