My neural network for MNIST digit recognition learns for one epoch and then stops learning
Summary This incident describes a neural network that stops learning after the first epoch, with accuracy stuck at ~9.8%, which is effectively random guessing on MNIST. The core issue stems from using MSE with tanh, incorrect gradient flow, and weight‑update logic that silently zeroes out updates. Root Cause The failure to learn is caused by … Read more