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Neurology illustration isolated on a white background. Visual schemes of biological and artificial neurons. Neural network elements. Vector illustration. Visual schemes of biological and artificial ...

This package supplies management and utilities for graph datasets used to train graph neural networks and more specifically aimed ... Instead of the usual minimal packaging to CSV files, a visual ...

A neural network implementation that predicts what the solution to a sparse matrix equation will be. The prediction is then fed into a solver (using methods such as Gauss-Seidel, Jacobi, etc.) as the ...

Cooperative Vector Support enables these AI tasks to be executed across different shader stages. For instance, it allows certain neural network operations to run in pixel shaders without fully ...

SVM is a linear classifier that tries to find the best hyperplane that separates the data points of different classes with the maximum margin. The margin is the distance between the hyperplane and ...

Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge ...

Random Forest,Convolutional Neural Network,Decision Tree,Deep Learning,Machine Learning,Support Vector Machine,Computer Vision ... Recurrent Neural Network,Visual Impairment,K-means,Object Recognition ...