64 neurons

Exploring the hidden layers behind 96 percent MNIST accuracy

There's something deeply satisfying about seeing the hidden layers of a neural network visualized, especially when it's someone's first project. This user achieved 96.52 percent accuracy on MNIST with a clean architecture: 64 neurons, then 32, then 10. The weights look cool because they reveal patterns the network learned on its own. That's the kind of discovery that makes machine learning feel accessible, not intimidating. For more on how open frameworks are reshaping research, explore how DiffusionEngine unifies diffusion research in one extensible PyTorch framework.