A dense-prediction walkthrough of FCN-style semantic segmentation with VGG backbones, skip connections, and upsampling.
A code-first walkthrough of neural style transfer using VGG feature losses, Gram matrices, and iterative image optimization.
A comparative reimplementation of VGG and ResNet, focused on depth, optimization, and residual learning.
