Can a diffusion model teach a CNN? Class-conditional DiT trained from scratch for low-data brain tumor MRI classification (Figshare, Cheng et al.), with a shortcut analysis. - ...
A CNN model trained on ImageNet. It certainly achieves over 95% accuracy in 1000-class image classification. However, as many engineers fail to realize, the moment you apply it to your own data, the ...
This project is a machine learning application built from scratch to classify images of cats and dogs using a Convolutional Neural Network (CNN) model. The dataset includes thousands of images, ...
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