Update README.md

README.md

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 - mandelbrot
 - function-learning
 - math
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+Neural Networks can learn any function, even capturing fractal level details. 
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+Approximated the hashtag#Mandelbrot set, a classic chaotic fractal, an infinitely complex boundary generated by a simple formula in the complex plane. Every zoom reveals more intricate detail, forever.
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+In this small-scale project, I trained a neural network to learn the fractal shape from pixel coordinates using PyTorch, NumPy, and Matplotlib. This isn’t curve-fitting. This is pure function learning. 
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+- Added positional encodings to represent spatial patterns
+- Increasing epochs and depth for better generalization
+- And tuning resolution + loss functions 
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+The model approximated the Mandelbrot set with stunning accuracy, no image inputs, just math.