Smart Angular Elements An Experiment
summary
An Angular component compiles into a standalone custom element that loads a pre‑trained model snapshot and runs inference in the browser: weights and biases exported from training initialize a local network (trained on the M&S data set), prediction happens on canvas pixel data, and the demo wires sliders and a drawing canvas into Angular Elements via the sensor flow snapshot plus a deep‑learning JS library; it generally works but hits GPU memory pollution and occasional crashes.
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