Transfer Learning for Vision

Summary

Fine-tuning a pretrained vision backbone on your own images — the standard, data-efficient way to build a working image classifier without training from scratch.

• 1Fine-tune a pretrained CNN or ViT on a small custom image dataset.
• 2Practice freezing early layers and only training the final classification head first.
• 3Compare results from freezing vs. fully fine-tuning the backbone.