CNNs · Level 2 of 5
CNN (CNN)
A neural network using convolutional operations to process structured local patterns.
Weight sharing and locality help exploit spatial structure.
Example
An image network slides learned filters across pixels.
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CNN. A neural network using convolutional operations to process structured local patterns. Weight sharing and locality help exploit spatial structure. For example: An image network slides learned filters across pixels.
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A useful analogy
A reusable detector scanning local regions rather than learning a new detector at every location.
Why it matters
This helps you interpret feature shapes and spatial behavior in image networks.
Technical detail
Convolutional layers share spatial kernel parameters. Stacking layers and downsampling change channel counts and receptive fields.
Common misconception
Weight sharing does not make a CNN perfectly invariant to every translation.
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