gender.py

train_datagen = ImageDataGenerator(rescale = 1./255,
	  rotation_range=40,
      width_shift_range=0.2,
      height_shift_range=0.2,
      shear_range=0.2,
      zoom_range=0.2,
      horizontal_flip=True,
      fill_mode='nearest')


test_datagen = ImageDataGenerator( rescale = 1.0/255)

train_generator = train_datagen.flow_from_directory("gender-recognition-200k-images-celeba/Dataset/Train/",
                                                    batch_size =256 ,
                                                    class_mode = 'binary', 
                                                    target_size = (64, 64))     

validation_generator =  test_datagen.flow_from_directory( "gender-recognition-200k-images-celeba/Dataset/Validation/",
                                                          batch_size  = 256,
                                                          class_mode  = 'binary', 
                                                          target_size = (64, 64))