aws-machine-learning-university-accelerated-cv

Why we included this project

This is the companion repository for Amazon's Machine Learning University accelerated computer vision class, and one of the more practical free curricula we have come across for learning vision models. The material is organized into three lectures that move from neural networks and convolutional nets, through transfer learning, to modern architectures like ResNet and VGGNet, plus object detection with YOLO. Each topic pairs explanatory slides with a Jupyter notebook you can open directly in SageMaker Studio Lab, and the course wraps up with a final project built on a real image-classification dataset. Because the notebooks run on the GluonCV and MXNet stack, you get comfortable with one specific framework while picking up ideas that carry over to other libraries. For developers and students who want a guided, hands-on route into computer vision instead of scattered tutorials, this is a solid place to begin.