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Image Classification Using Convolutional Neural Networks

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By Noor Ul Amin, Goo Yun Hai, Abdul Salam Shah
| preprints.org
You are already at the latest version This paper introduces a Convolutional Neural Network (CNN) to jointly classify images with multiple classes on the Fashion-MNIST dataset, with a test accuracy of 90.20% and 0.11 million parameters of parameters a lightweight model, which significantly outperforms classical baselines (HOG+SVM: 85%) and is both computationally efficient.
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