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This course covers the EfficientNetV2 model, focusing on achieving better results in ImageNet accuracy. Students will learn about progressive training, the Fused-MBConv layer, and a novel reward function for NAS. The teaching method includes a high-level overview, NAS review, deep dive into the model, and discussing results. The intended audience for this course includes AI enthusiasts, researchers, and developers interested in neural architecture search and model optimization.
