Computer vision: Deep Learning worked examples

Understand image-model operations and adaptation with worked examples.

• Convolution output shape: work through padding, stride and channels

  Calculate a CNN's spatial dimensions by hand, verify them in PyTorch and repair a mismatched linear layer after flattening.

  tutorial · 4 min read

• Transfer learning vs fine-tuning: the difference and when to use each

  Transfer learning vs fine-tuning explained: how they differ, when to freeze or update pretrained weights, PyTorch code for each, and how LLM fine-tuning fits in.

  comparison · 8 min read