10.13: Neural Networks: Feedforward Algorithm Part 2 - The Nature of Code

From the creator

This video is a continuation of the Feedforward algorithm video. In this part, I implement the code for the algorithm in a NeuralNetwork class written in JavaScript. Code: https://thecodingtrain.com/tracks/neural-networks/neural-networks/13-feedforward-algorithm-part-2 💻 Github Repo: https://github.com/CodingTrain/Toy-Neural-Network-JS 🎥 Previous: https://youtu.be/qWK7yW8oS0I 🎥 Next: https://youtu.be/QJoa0JYaX1I 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 🔗 Math.exp(): https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Math/exp 🔗 Sigmoid function: https://en.wikipedia.org/wiki/Sigmoid_function Videos: 🔗 https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi Timestamps: 0:00 Introduction 1:08 Define objective 3:07 Add weight matrices 4:48 Add random weights 5:41 Add the bias 7:14 Generate the hidden outputs 9:10 Add a function to create a matrix object from an array 12:11 Add a sigmoid function 13:32 Generate the outputs 15:02 Write a toArray() function 18:57 Train function 19:17 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/Co

Published 2018-01-22 · Watch on YouTube ↗
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