This project investigates the performance of a multilayer perceptron (MLP) to classify image data from the Fashion-Mnist dataset [2]. Furthermore, brief experiments with convolutional neural will be carried out. Hyperametrization was carried out on the learning rate, the L2 weight and the depth of the MPL model.
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This project investigates the performance of a multilayer perceptron (MLP) to classify image data from the Fashion-Mnist dataset [2]. Furthermore, brief experiments with convolutional neural will be carried out. Hyperametrization was carried out on the learning rate, the L2 weight and the depth of the MPL model.
Giuliano-1/COMP551---FinalProject
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This project investigates the performance of a multilayer perceptron (MLP) to classify image data from the Fashion-Mnist dataset [2]. Furthermore, brief experiments with convolutional neural will be carried out. Hyperametrization was carried out on the learning rate, the L2 weight and the depth of the MPL model.
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