Computer Vision Applications - Full Stack Deep Learning - Spring 2021

Computer Vision Applications - Full Stack Deep Learning - Spring 2021

The Full Stack via YouTube Direct link

- Introduction

1 of 14

1 of 14

- Introduction

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Computer Vision Applications - Full Stack Deep Learning - Spring 2021

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

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