Learn Generative AI, Prompt Engineering, and LLMs for Free
AI Engineer - Learn how to integrate AI into software applications
Overview
Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This lecture reviews notable deep learning applications in computer vision, from convolutional network architectures to localization, detection, and segmentation. It also surveys advanced tasks and methods, including 3D shape inference, pose estimation, adversarial attacks, and style transfer.
Syllabus
- Introduction
- AlexNet
- ZFNet
- VGGNet
- GoogLeNet
- ResNet
- SqueezeNet
- Architecture Comparisons
- Localization, Detection, and Segmentation Tasks
- Overfeat, YOLO, and SSD Methods
- Region Proposal Methods R-CNN, Faster R-CNN, Mask R-CNN, U-Net
- Advanced Tasks 3D Shape Inference, Face Landmark Recognition, and Pose Estimation
- Adversarial Attacks
- Style Transfer
Taught by
The Full Stack