NND2 | Multiple Input Neuron Explained | Neural Network Basics (Weights, Bias, Transfer Functions)

In this video, we explore the multiple-input neuron, an essential building block of neural networks. You’ll learn how a neuron combines several inputs with their weights and bias, and how the transfer function shapes the output.

This series follows the structure of the textbook Neural Network Design (2nd Edition) by Martin T. Hagan, Howard B. Demuth, Mark H. Beale, and Orlando De Jesús. All figures are redrawn and explained in my own words, with examples to make the ideas clearer.

👉 Official resources: https://hagan.okstate.edu/nnd.html

⚠️ Disclaimer: These videos contain my own explanations and interpretations for educational purposes.

Видео NND2 | Multiple Input Neuron Explained | Neural Network Basics (Weights, Bias, Transfer Functions) канала learndataa