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Patreon: https://www.patreon.com/primerlearning Helpful resources if you want to learn more about neural networks https://www.youtube.com/@AndrejKarpathy https://course.fast.ai/ https://www.youtube.com/@WelchLabs https://www.youtube.com/@3blue1brown Early papers. These probably aren't helpful for understanding the concepts in this video, but if you're interested in history. The Perceptron – A perceiving and recognizing automaton: https://bpb-us-e2.wpmucdn.com/websites.umass.edu/dist/a/27637/files/2016/03/rosenblatt-1957.pdf The Perceptron: A probabilistic model for information storage and organization in the brain: https://www.ling.upenn.edu/courses/cogs501/Rosenblatt1958.pdf A Logical Calculus of the Ideas Immanent In Nervous Activity: https://home.csulb.edu/~cwallis/382/readings/482/mccolloch.logical.calculus.ideas.1943.pdf#page=15.66 On the legacy of WS McCulloch: https://pubmed.ncbi.nlm.nih.gov/17184902/ Other connections: Store: https://store.dftba.com/collections/primer Twitch: https://www.twitch.tv/justin_helps Discord: https://discord.gg/NbruaNW Reddit: https://www.reddit.com/r/primerlearning/ Bsky: https://bsky.app/profile/justinhelps.bsky.social Twitter: https://twitter.com/primerlearning Music by Mathieu Keith. For business inquiries: [email protected] Made with Godot Github: https://github.com/Primer-Learning/PrimerTools 0:00 Intro 1:11 A brief history and overview of artificial neurons 4:29 Training a neuron with one weight 8:00 A weight and a bias 14:28 Generalizing the update rule 17:55 Classifying mangoes by length 25:19 A thing that would not have worked 26:23 Classifying mangoes by length and mass 30:13 The exclusive OR problem 31:31 Credits and begging for money 32:26 Review

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