Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are the core architecture for processing grid-like data such as images, with wide applications in computer vision.
Contents:
- CNN Principles — Convolution operations, pooling, receptive fields, feature maps
- CNN Architectures — LeNet, AlexNet, VGG, ResNet, EfficientNet
- Image Segmentation — Semantic segmentation, instance segmentation, U-Net
- Object Detection — R-CNN series, YOLO series, anchor-free detection, NMS
- Meta Learning — Few-shot learning, model-agnostic meta-learning