10.13: Neural Networks: Feedforward Algorithm Part 2 - The Nature of Code
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/neu... 💻 Github Repo: https://github.com/CodingTrain/Toy-Ne... 🎥 Previous:    • 10.12: Neural Networks: Feedforward Algori...  🎥 Next:    • 10.14: Neural Networks: Backpropagation Pa...  References: 🔗 Intelligence and Learning: https://github.com/nature-of-code/NOC... 🔗 Make Your Own Neural Network: https://www.amazon.com/Make-Your-Own-... 🔗 Math.exp(): https://developer.mozilla.org/en-US/d... 🔗 Sigmoid function: https://en.wikipedia.org/wiki/Sigmoid... Videos: 🔗    • Neural networks  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/pas... 🚩 Suggest Topics: https://github.com/CodingTrain/Sugges... 💡 GitHub: https://github.com/CodingTrain 💬 Discord: https://thecodingtrain.com/discord 💖 Membership: http://youtube.com/thecodingtrain/join 🛒 Store: https://standard.tv/codingtrain 🖋️ Twitter:   / thecodingtrain  📸 Instagram:   / the.coding.train  🎥    • Coding Challenges  🎥    • Start learning here!  🔗 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... This description was auto-generated. If you see a problem, please open an issue: https://github.com/CodingTrain/thecod... #neuralnetwork #feedforward #sigmoidfunction #activationfunction #javascript
10.14: Neural Networks: Backpropagation Part 1 - The Nature of Code
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