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Successfully reached >93% test set accuracy with this convnet (Conv2Dsimple2) without data augmentation.
Used stratified 3-fold train, dropout, batch normalization and max norm.
Successfully reached >93% test set accuracy with this convnet (Conv2Dsimple2) without data augmentation.
Used stratified 3-fold train, dropout, batch normalization and max norm.
Code and description is available here: https://github.com/dtoertei/fashion-mnist
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