Edwy
AI Primer

Neural networks · Module 14

The neuron, the layer, the network

A neuron is a weighted sum of its inputs, passed through a non-linear squashing function.

Neuron

output = f(w₁ x₁ + w₂ x₂ + … + b)

Layer

a row of neurons, each looking at the same inputs

Network

stacked layers; output of one feeds the next

Training

nudge the weights so predictions improve

input

hidden layers

output

Applied frame

Follow the representation through layers, weights, activations, and training feedback.

Diagram cue

The diagram stacks simple operations so the abstraction ladder stays legible.

Diagram showing signals entering an activation, then forming a layer and network
A network is built by stacking simple signal transformations.
The neuron, the layer, the network animated explainer
Owned Edwy animated explainer for The neuron, the layer, the network.

Neurons combine signals into layers and networks. Key motion beats: signals, activation, layer, network.

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