v147 · Linear Regression Demo

Linear Regression Demo

Build a tiny WebNN computation graph that evaluates a linear function y = w·x + b across a range of inputs. Adjust weight and bias, then run the graph — results are plotted and the raw tensor output is logged.

Checking for WebNN (navigator.ml)…

Graph parameters

Weight (w) 2.0

Bias (b) 1.0

Input range −5 to 5

Points 11

Graph: y = 2.0·x + 1.0

WebNN: mul(x, w) → add(bias) → output

Output plot — y = w·x + b

Last x

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Last y

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Min y

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Max y

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implementation reference

Need the exact API surface, compatibility boundaries, errors, lifecycle, and source links? Read the matching gendn reference ↗

see also

implementation reference