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Reference: https://www.youtube.com/watch?v=7kELUTwjCp8&t=181s https://en.wikipedia.org/wiki/Hebbian_theory https://thedecisionlab.com/reference-guide/neuroscience/hebbian-learning/ Introduction 전 포스트에서 설명했듯이, Rosenblatt's Perceptron은 Hebbian theory에 영감을 받아 제안된 아이디어였다. 오늘은 Hebbian Learning에 대해서 알아보겠다. “Psychology and Philosophy were divorced some time ago but, like other divorced couples, they st..

Reference) https://www.pearsonhighered.com/assets/samplechapter/0/1/3/1/0131471392.pdf https://towardsdatascience.com/rosenblatts-perceptron-the-very-first-neural-network-37a3ec09038a https://en.m.wikipedia.org/wiki/Perceptron Rosenblatt’s perceptron, the very first neural network A quick introduction to deep learning. towardsdatascience.com Introduction 전 포스트에서 McCulloch-Pitt Neuron에 대해서 설명했다. ..

Reference) https://towardsdatascience.com/mcculloch-pitts-model-5fdf65ac5dd1 McCulloch-Pitts Neuron — Mankind’s First Mathematical Model Of A Biological Neuron It is very well known that the most fundamental unit of deep neural networks is called an artificial neuron/perceptron. But the very first… towardsdatascience.com http://www.aistudy.co.kr/neural/McCulloch_Pitts.htm McCulloch-Pitts Model 초..