This project aims to provide a fundamental understanding of numerical approximation methods in higher dimensions, focusing on Gradient Descent. This is applied by training a neural network using the MNIST dataset
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This project aims to provide a fundamental understanding of numerical approximation methods in higher dimensions, focusing on Gradient Descent. This is applied by training a neural network using the MNIST dataset
fhnw-ivy/vta_mc1
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This project aims to provide a fundamental understanding of numerical approximation methods in higher dimensions, focusing on Gradient Descent. This is applied by training a neural network using the MNIST dataset