이미지 데이터 여러개 load 하는 법.txt

from keras.preprocessing.image import ImageDataGenerator

data_generator = ImageDataGenerator(rescale=1./255) / normalization
train_generator = data_generator.flow_from_directory("C:\\Users\\nise\Desktop\\images\\train", target_size=(100,100),
                                                     batch_size=1, class_mode='categorical') /ÀÌ ¸í·É¾î·Î load °¡´É