Devlog 3 — 93.69% Accuracy Today was actually insane for NeuroLab. Accuracy jumped from 10.9% to 93.69%! What I changed: I switched from the small 10k image dataset to the full 60k MNIST training dataset, which made a huge difference because the project had way more examples to learn from. I also added softmax to the output layer instead of ReLU, which converts the 10 outputs into actual probabilities that sum to 1, so now NeuroLab can say something like “97% confident this is a 1” instead of just outputting random numbers. Also added a preactivation function, switched to pandas for loading CSV files because np.loadtxt was taking way too long for my patience, and wrote an accuracy function to measure how well it learned. The training took so long. 100 cycles on 60,000 images is too much for my Ryzen 3 to handle. But the results were worth it. Final loss was 0.00981, and accuracy on 10,000 test images was 93.69%.