Overview
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Implement SRGAN from scratch in this comprehensive video tutorial. Learn the model implementation, understand the VGG loss term, and review the train, utils, and config files. Gain insights into super-resolution techniques using Generative Adversarial Networks (GANs) through step-by-step explanations and code demonstrations. Follow along as the instructor covers key concepts, including model architecture, loss functions, and training procedures, providing a solid foundation for developing your own SRGAN projects.
Syllabus
​ - Introduction and Overview
- Model implementation
- VGG Loss Term
- Quick review of train, utils, config file
- Ending
Taught by
Aladdin Persson