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DL LAB PROGRAMS

This is a set of Notebooks for DL LAB. Since all the codes are written in PyTorch, from the requirements.txt - tensorflow and keras can be removed in order to save time. Also while performing data preprocessing as shown in the example snippet below:

train_dataset = torchvision.datasets.CIFAR10(root='./data', train=True, download=True, transform=transform)
test_dataset = torchvision.datasets.CIFAR10(root='./data', train=False, download=True, transform=transform)

set download=False instead of True if you have already downloaded the dataset in the data folder

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