However, because of the specificity of the differences in hyperspectral image data bands, the current hyperspectral image classification (HSIC) field has not proposed a better general model training ...

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Hyperspectral image (HSI) classification is an important but challenging task. Conventional convolutional neural networks (CNNs) are able to extract local spectral spatial features but ignore ...

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 ...