This is a fascinating deep dive into why standard neural networks struggle with complex fractal patterns like the Mandelbrot set—and how Fourier feature mapping solves the problem. A really elegant demonstration of how positional encoding techniques (yes, the same ones powering transformers) help networks learn high-frequency details they'd otherwise miss completely.
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