convolutional neural networks nextwe will normalize the pixel values and convert the dataset into pytorch tensor for training (listing - listing - normalizing the data and preparing the trainingvalidation datasets #covert train images from pandas/numpy to tensor and normalize the values train_images_tensor torch tensor(train_images)/ train_images_tensor train_images_tensor view(- , , , train_labels_tensor torch tensor(train_labels#create train tensordataset train_tensor tensordataset(train_images_tensortrain_labels_ tensor#covert validation images from pandas/numpy to tensor and normalize the values val_images_tensor torch tensor(val_images)/ val_images_tensor val_images_tensor view(- , , , val_labels_tensor torch tensor(val_labels#create validation tensordataset val_tensor tensordataset(val_images_tensorval_labels_ tensor