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MNIST-Digit-Recognizer

credits for dataset: https://www.kaggle.com/c/digit-recognizer

Model present in repositary is trained in 35700 gray scaled images, and validated on 6300 images over 100 epochs. Model uses various Conv-2d,max_pool2d,Dropout layers along with core keras layers. Model provides great accuracy as shown in graph-plot, and file "val_results_model.csv" for total validation accuracy and file "train_results_model.csv" for trian data accuracy can be visited in repository for checking over accuracy and losses in each epochs.

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