Classifying clothing images into 10 different fashion categories using neural network. For this purpose, I am using Fashion MNIST dataset from keras dataset. It contains 60,000 images for training and 10,000 images for testing. Each image is 28x28 grayscale, associated with a label from 10 fashion categories. This project has adopted simple two layers network with different techniques to reduce the chance of overfitting (e.g. weight regularization, dropout etc).
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Rubaida001/Fashion-MNIST-Clothing-Image-Classification
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Classifying clothing images into 10 different fashion categories using neural network
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