# Deep Learning Portfolio — Documentation

Deep dives into each experiment: architecture, training configuration, and results — illustrated with real plots from the notebooks.

## Projects

- [MLP Regularization](MLP-Regularization.md) — Dropout comparison (with an honest note on a confounded variable)
- [CNN BatchNorm Comparison](CNN-BatchNorm.md) — clean ablation, BatchNorm's effect isolated
- [Autoencoder Denoising](Autoencoder-Denoising.md) — noisy-to-clean image reconstruction through a compressed bottleneck