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Learn how to implement ResNet models (ResNet50, ResNet101, ResNet152) from scratch using PyTorch in this 30-minute video tutorial. Explore the ResNet paper, gain an overview of its architecture, and dive into coding the model step-by-step. Follow along as the instructor breaks down the implementation process, providing insights into the key components of ResNet and demonstrating how to build this powerful deep learning model for computer vision tasks.
Syllabus
Pytorch ResNet implementation from Scratch
Taught by
Aladdin Persson