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

The Coding Train
The Coding Train
136.3 هزار بار بازدید - 7 سال پیش - In this video, I introduce
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/neu...

💻 Code Example: https://github.com/CodingTrain/Toy-Ne...

🎥 Previous: 10.5: Neural Networks: Multilayer Per...
🎥 Next: 10.7: Neural Networks: Matrix Math Pa...

References:
🔗 Intelligence and Learning: https://github.com/nature-of-code/NOC...
🔗 Brendan Fortuner's Linear algebra cheat sheet for deep learning: https://towardsdatascience.com/linear...
🔗 Math.js: https://mathjs.org
🔗 GPU.js: https://gpu.rocks/#/

Videos:
🔗 Khan Academy's Linear Algebra class: https://www.khanacademy.org/math/line...
🔗 Essence of linear algebra

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

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🔗 p5.js: https://p5js.org
🔗 p5.js Web Editor: https://editor.p5js.org/
🔗 Processing: https://processing.org

📄 Code of Conduct: https://github.com/CodingTrain/Code-o...

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#neuralnetworks #matrixalgebra #javascript
7 سال پیش در تاریخ 1396/04/11 منتشر شده است.
136,380 بـار بازدید شده
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