A complete neural network built entirely in x86 assembly language that learns to recognize handwritten digits from the MNIST dataset. No frameworks, no high-level languages - just pure assembly - ~5.3× faster than NumPy
What is the mohammad-ghaderi/mnist-asm-nn GitHub project? Description: "A complete neural network built entirely in x86 assembly language that learns to recognize handwritten digits from the MNIST dataset. No frameworks, no high-level languages - just pure assembly - ~5.3× faster than NumPy". Written in Assembly. Explain what it does, its main use cases, key features, and who would benefit from using it.
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