The objective was to create Machine Learning and Deep Learning models to classify fashion_MNIST dataset and to compare their performances. The best performance was observed for the VGG-16 inspired CNN architecture and ResNet. The best validation accuracy measured was 92.63%.
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This repository contains code for different machine and deep learning algorithms that classifies fashion-MNIST images.
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