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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 ...
This paper presents a lightweight convolutional neural network (CNN) with integrated explainability for fashion item classification on resource-constrained edge devices. While deep learning has ...
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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