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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/Weight pruning
Identity Bridge

Tree-shaking
=
Weight pruning

Terra Grid // Bridge #47
The connection

Both remove unused parts to reduce size without changing behavior. Tree-shaking eliminates dead code; pruning eliminates near-zero weights. Same optimization, different artifact.

Why "Identity"?

Identity bridges are the same concept in both domains. The code is identical or nearly identical.

Frontend concept
Tree-shaking
View in glossary
ML concept
Weight pruning
View in glossary
Related bridges in Terra Grid
CDN edge locations=Edge inference
Structural
Image format tradeoffs (PNG vs. WebP)=Model quantization
Structural
Code splitting=Knowledge distillation
Structural
CI/CD pipeline=ML pipeline (data → train → deploy)
Structural
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