This repository contains the code of training deep learning model on a noisy CIFAR dataset. The noisy dataset is generated after adding a Gaussian noise to each image. In what follows, we describe each file of this repository: This file contains the main function for:
1) pre-processing the CIFAR dataset, i.e., normalizing the dataset and adding Normal noise
2) training the learning model located in the file : This file contains the designed learning model : This file contains the transform for adding the Normal noise to the original dataset before starting the training


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