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Mnist neural network implemented in pure x86 assembly from scratch

• mghaderi 11mo ago
  I implemented a neural network from scratch in x86 assembly (no frameworks, no Python) to recognize handwritten digits from MNIST. Feedback on performance optimizations or next steps is welcome Uses AVX-512 SIMD for parallel float32 ops (~7× faster than NumPy). Runs in a lightweight Debian Slim Docker container. The goal was to understand neural networks at the CPU level.
  • checker659 11mo ago
    > ~7× faster than NumPy Is that on the CPU (not sure if NumPy has a GPU backend)
    • mghaderi 11mo ago
      Yes CPU same resources And same implementation