Initial commit: MLP regularization, CNN BatchNorm comparison, autoencoder denoising

docs/Home.md

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+# 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