Spectral Bias: Why Neural Networks Learn Low Frequencies First
This story is from 2026-10-25. It is preserved in the archive; the latest stories are on the live feed.
Train a neural network on a wiggly target function and watch what happens, epoch by epoch. The network does not learn the whole function at once. It first fits a smooth, coarse approximation, and only later starts to capture the sharp wiggles, spikes, and fine detail. This is not a bug in your opti…
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- 2026-10-25 13:55 · DEV Community — Machine Learning
Spectral Bias: Why Neural Networks Learn Low Frequencies First