The Shape of a Neuron — Weights, Bias and Activation Functions Explained Visually
Article automatically generated from technical news.
The word “neuron” in machine learning can make the whole thing sound unnecessarily complex. But when you build it step by step, the idea becomes surprisingly geometric. In this video I explore neural networks from a geometric perspective. We start with a single neuron and build an intuition for weights, bias, decision boundaries, and activation functions by visualising them as surfaces moving through an input space. Instead of treating activation functions as formulas to memor
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