10.16: Neural Networks: Backpropagation Part 3 - The Nature of Code

From the creator

In this video, I discuss how "gradient descent" can be used to adjust the weights during back propagation in my "toy" JavaScript neural network library. Code: https://thecodingtrain.com/tracks/neural-networks/neural-networks/16-backpropagation-part-3 💻 Github Repo: https://github.com/CodingTrain/Toy-Neural-Network-JS 🎥 Previous: https://youtu.be/r2-P1Fi1g60 🎥 Next: https://youtu.be/qB2nwJxNVxM References: 🔗 Intelligence and Learning: https://github.com/nature-of-code/NOC-S17-2-Intelligence-Learning/tree/master/week4-neural-networks 🔗 Make Your Own Neural Network: https://www.amazon.com/Make-Your-Own-Neural-Network-ebook/dp/B01EER4Z4G 🔗 Tensorflow.js: https://github.com/nature-of-code/NOC-S17-2-Intelligence-Learning/tree/master/week4-neural-networks 🔗 Backpropagation: https://en.wikipedia.org/wiki/Backpropagation 🔗 ml4a: https://github.com/ml4a 🔗 matrixmultiplication.xyz: http://matrixmultiplication.xyz Videos: 🔗 https://www.youtube.com/watch?v=jc2IthslyzM 🔗 https://www.youtube.com/watch?v=L-Lsfu4ab74 🔗 https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab 🔗 https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi 🔗 https://www.youtube.com/watch?v=IHZwWFHWa-w Timestamps: 0:00 Introduction 0:56 Review 3:23 Train / test data 7:59 Resources 9:40 Updating the estimated parameters of a line 12:22 Calculate the change in weights 19:50 Outro Editing by Mathieu Blanchette Animations by Jason Heglund Music from Epidemic Sound 🚂 Website: https:/

Published 2018-02-05 · Watch on YouTube ↗
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