10.6: Neural Networks: Matrix Math Part 1 - The Nature of Code

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In this video, I introduce the idea of "Linear Algebra" and explore the matrix math required for a simple neural network library. Code: https://thecodingtrain.com/tracks/neural-networks/neural-networks/6-matrix-math-basics 💻 Code Example: https://github.com/CodingTrain/Toy-Neural-Network-JS/blob/master/lib/matrix.js 🎥 Previous: https://youtu.be/IlmNhFxre0w 🎥 Next: https://youtu.be/n6q9D2wd1bE References: 🔗 Intelligence and Learning: https://github.com/nature-of-code/NOC-S17-2-Intelligence-Learning/tree/master/week4-neural-networks 🔗 Brendan Fortuner's Linear algebra cheat sheet for deep learning: https://towardsdatascience.com/linear-algebra-cheat-sheet-for-deep-learning-cd67aba4526c 🔗 Math.js: https://mathjs.org 🔗 GPU.js: https://gpu.rocks/#/ Videos: 🔗 Khan Academy's Linear Algebra class: https://www.khanacademy.org/math/linear-algebra 🔗 https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab Timestamps: 0:00 Hello! 2:19 Vectors and Matrices 4:00 Scalar operations 4:22 Element-wise operations 5:23 Dot Product 8:29 What is a matrix? 10:45 Write a matrix function 12:30 Initialize the values 14:56 Add functions for scalar operations 17:24 Outro Editing by Mathieu Blanchette Animations by Jason Heglund Music from Epidemic Sound 🚂 Website: https://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 💬 Dis

Published 2017-07-02 · Watch on YouTube ↗
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