In the Supplementary material, there is a 3D reconstruction of LeNet5 for the classification of the FashionMNIST and MNIST datasets. Each color represents the various layers of the model and their ...

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In previous research, we applied classification- integrated moving averages (CIMA) to increase the correlation between features in time-series data and their classification labels. The problem is ...

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Convolutional neural network structures based on deep learning are employed for image classification of the MNIST dataset. The study aims to tackle the model overfit issue, using two different ...

Dr. James McCaffrey of Microsoft Research details the 'Hello World' of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset.