In this video, I tackle a fundamental algorithm for neural networks: Feedforward. I discuss how the algorithm works in a Multi-layered Perceptron and connect the algorithm with the matrix math from previous videos. Code: 💻 Github Repo: 🎥 Previous: 🎥 Next: References: 🔗 Intelligence and Learning: 🔗 Make Your Own Neural Network: Videos: 🔗 Timestamps: 0:00 Introduction 1:35 Review neural network structure 8:24 Weight Matrix 15:43 Hidden layer 16:15 Bias 18:45 Sigmoid activation function 21:23 Output layer 26:13 Outro Editing by Mathieu Blanchette Animations by Jason Heglund Music from Epidemic Sound 🚂 Website: 👾 Share Your Creation! 🚩 Suggest Topics: 💡 GitHub: 💬 Discord: 💖 Membership: 🛒 Store: 🖋️ Twitter: 📸 Instagram: 🎥 🎥 🔗 : 🔗 Web Editor: 🔗 Processing: 📄 Code of Conduct: This description was auto-generated. If you see a problem, please open an issue: #neuralnetwork #feedforward #javascript