CNN Architectures (ResNet, VGG, EfficientNet)

Summary

Landmark CNN designs — ResNet introduced skip connections to train very deep networks, VGG popularized deep stacks of small filters, EfficientNet optimized accuracy-per-parameter.

How to Learn This

1Load a pretrained ResNet and use it for transfer learning on a custom dataset.
2Learn what skip connections in ResNet solve (vanishing gradients in deep networks).
3Compare model size and accuracy trade-offs across ResNet, VGG and EfficientNet.

OpenCV Basics

Object Detection (YOLO, Overview)

More topics in Computer Vision

Image Preprocessing OpenCV Basics Object Detection (YOLO, Overview)Image Segmentation (Overview)Vision Transformers (ViT)Transfer Learning for Vision Image Augmentation OCR Basics

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