How to make CNN performance better, CNN accuracy cannot convergent

[J_Johnson]

Here is a thread that discusses how to:

Computing the mean and std of dataset

Hello. So I am trying to compute the mean and the standard deviation per channel of my train dataset (three-channel images of different shapes). For the mean I can do it in two ways, but I get slightly different results. import torch from torchvision import datasets, transforms dataset = datasets.ImageFolder('train', transform=transforms.ToTensor()) First computation: mean = 0.0 for img, _ in dataset: #mean += img.sum([1,2])/torch.numel(img[0]) mean += img.mean([1,2…