Hey. I am completely new to PyTorch and have no idea where to begin with. I am working on a classification problem. It’s a 4 class classification problem. I have all the images in a single folder. I have a .csv file of the one-hot encoded representation corresponding to each image

. The column name represents the actual class and rows contain corresponding one hot encoded representation like this [0 0 0 1]. How to map this representation with images?
If I map these things, then how would it be ensured that the images are passed with their corresponding labels to the neural network? Can someone please give me idea about how to proceed?