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Experimenting with Neural Networks - Part 4: Explaining Backpropagation
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Last Updated: September 30, 2026
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Carnegie Mellon University Course: 11-785, Intro to Deep Learning Offering: Spring 2019 Slides: ... Stay Connected! Get the latest insights on Artificial Intelligence (AI) , Natural Language Processing (NLP) , and Large ... Help fund future projects: patreon.com/3blue1brown An equally valuable form of support is to share the videos. Stanford Winter Quarter 2016 class: CS231n: Convolutional Neural Networks for Visual Recognition. XCS231N Deep Learning for Computer Vision, the professional education version of the graduate course CS231N Deep ... We re-recorded the introduction for the online section after the We can compute how the error changes as you change the weights on the connections that's the 00:00 Recap 02:56 Introduction to Derivatives 13:38 Gradient 18:38 Hessian 30:00 Gradient Descent 57:32 One-hot (Multi-class ...
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