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CNN is a successful image classification that uses hierarchical feature extraction, ViTs capture the global context but require substantial data and computation. In this research, we have used ...
To obtain light ensemble model through clearly explained effective ensemble member selection and finding data representation in various valuable forms are major challenges in medical image ...
Contribute to Harshsoni38/Multiclass-Image-Classification-using-CNN development by creating an account on GitHub.
MNIST_ML_Image_Classifier: Deep Learning Handwritten Digit Recognition Hey there! 👋 I am Francis Okorie Iyeke-Kanu, and this is my implementation of a production-ready Convolutional Neural Network ...
Fine-grained image classification tasks face challenges such as difficulty in labeling, scarcity of samples, and small category differences. To address this problem, this study proposes a novel ...
Homeland Security and 'South Park' got into scuffle on X after the department used an image from an upcoming episode that depicts immigration raids and the return of Trump and Satan.
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