This project aims to classify images from the MNIST-number dataset using a simple Convolution Neural Network (CNN). One can understand that using only a few convolution layers can yield very good ...
TL; DR. In this work, we propose HCNN, a generalization of the convolutional neural network that learns latent feature representations in hyperbolic spaces in every layer, fully leveraging the ...
A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
Abstract: In the ongoing era of noisy intermediate scaled quantum computers, one of the possible applications to search for an advantage of quantum computing is machine learning. Here we report about ...
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