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Classroom Contents
Computer Vision Applications - Full Stack Deep Learning - Spring 2021
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- 1 - Introduction
- 2 - AlexNet
- 3 - ZFNet
- 4 - VGGNet
- 5 - GoogLeNet
- 6 - ResNet
- 7 - SqueezeNet
- 8 - Architecture Comparisons
- 9 - Localization, Detection, and Segmentation Tasks
- 10 - Overfeat, YOLO, and SSD Methods
- 11 - Region Proposal Methods R-CNN, Faster R-CNN, Mask R-CNN, U-Net
- 12 - Advanced Tasks 3D Shape Inference, Face Landmark Recognition, and Pose Estimation
- 13 - Adversarial Attacks
- 14 - Style Transfer
