Building a Python Neural Network Image Classification Part 2 : Data Preprocessing

-Data Pre processing:

-Dividing data into training set, test set and validation set using Sklearn's StratfiedShuffleSplit
-Scaling the data using Sklearn's StandardScaler
-converting numpy arrays into torch tensors
-Using Dataset and Dataloader for batch training of training data