Coding Train Live 115 - Backpropagation

From the creator

This live stream is a continuation of neural network series. I attempt to discuss backpropagation, but it mostly goes haywire. Timestamps: 30:20 - Reading Random Numbers 36:22 - Backpropagation Part 1 1:06:56 - Backpropagation Part 2 1:40:25 - Learning with Gradient Descent 🚂 Website: http://thecodingtrain.com/ 👾 Share Your Creation! https://thecodingtrain.com/guides/passenger-showcase-guide 🚩 Suggest Topics: https://github.com/CodingTrain/Suggestion-Box 💡 GitHub: https://github.com/CodingTrain 💬 Discord: https://thecodingtrain.com/discord 💖 Membership: http://youtube.com/thecodingtrain/join 🛒 Store: https://standard.tv/codingtrain 🖋️ Twitter: https://twitter.com/thecodingtrain 📸 Instagram: https://www.instagram.com/the.coding.train/ 🎥 Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH 🎥 Intro to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA 🔗 p5.js: https://p5js.org 🔗 p5.js Web Editor: https://editor.p5js.org/ 🔗 Processing: https://processing.org References: SFPC's Learning to Teach 2018: https://medium.com/@sfpc/learning-to-teach-2018-4dca068b0fb8 Michael Nielsen's Book on Neural Networks: http://neuralnetworksanddeeplearning.com/ Deeplearn.js: https://deeplearnjs.org/ Sigmoid function on Wikipedia: https://en.wikipedia.org/wiki/Sigmoid_function Videos: My Neural Networks series: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh 3Blue1Brown Neural Networks playlist:

Published 2018-01-20 · Watch on YouTube ↗
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