This project implements a multilayer perceptron (MLP) from scratch to classify image data from the MNIST dataset. Different parameters such as neural network depth, width, learning rate, regularization are tested to observe effects.
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This project implements a multilayer perceptron (MLP) from scratch to classify MNIST image data. Different parameters such as neural network depth, width, learning rate, regularization are tested to observe effects.
jpan8866/Multilayer-Perceptron
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This project implements a multilayer perceptron (MLP) from scratch to classify MNIST image data. Different parameters such as neural network depth, width, learning rate, regularization are tested to observe effects.
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