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// bridge system
useState()→Model Weights·Event Propagation→Forward Pass·Array.map()→Tensor Operation·React diff→Loss Function L = Σ(y−ŷ)²·transition-duration→Learning Rate η·CSS clamp()→σ(x) Activation·Re-render cycle→Training Epoch·Event bubbling→Backpropagation ∂L/∂w·useCallback→Gradient Caching·Promise.all()→Batch Inference·Redux store→Weight Matrix·DevTools profiler→Loss Landscape·useState()→Model Weights·Event Propagation→Forward Pass·Array.map()→Tensor Operation·React diff→Loss Function L = Σ(y−ŷ)²·transition-duration→Learning Rate η·CSS clamp()→σ(x) Activation·Re-render cycle→Training Epoch·Event bubbling→Backpropagation ∂L/∂w·useCallback→Gradient Caching·Promise.all()→Batch Inference·Redux store→Weight Matrix·DevTools profiler→Loss Landscape·
Bridges/Convolution kernels
Structural Bridge

CSS blur() / SVG filters
=
Convolution kernels

Neon Protocol // Bridge #28
The connection

Both apply a small sliding window that transforms local regions of an image. CSS blur applies a convolution kernel to pixels; CNNs apply learned kernels to feature maps.

Why "Structural"?

Structural bridges share the same architecture or pattern, even though the domains differ.

Frontend concept
CSS blur() / SVG filters
View in glossary
ML concept
Convolution kernels
View in glossary
Related bridges in Neon Protocol
canvas.getImageData()=Image tensors
Identity
getBoundingClientRect()=Bounding boxes
Identity
debounce()=Non-Max Suppression
Structural
SVG clip-path / CSS masks=Segmentation masks
Structural
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