In this repository is a script for easy building and deploying a neural network with Pytorch. The MNIST dataset will be downloaded and used. The inputs will be normalised.

This project focuses on implementing and evaluating K-Nearest Neighbors (KNN) and Radius Nearest Neighbors (RNN) classifiers using both manual implementation and scikit-learn. The first part applies ...

Assessment Algorithm,Classification Accuracy,Classification Algorithms,Classification Challenge,Conventional Convolutional Neural Networks,Convolutional Neural Network,Data Processing,Dimension ...

Assessment Algorithm,Classification Accuracy,Classification Algorithms,Classification Challenge,Conventional Convolutional Neural Networks,Convolutional Neural Network,Data Processing,Dimension ...

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a ...

More information: Luisa H. B. Liboni et al, Image segmentation with traveling waves in an exactly solvable recurrent neural network, Proceedings of the National Academy of Sciences (2025).