hey can you please help me with which directory to i need to enter over here as i cannot understand it at all
from tensorflow.keras.preprocessing.image import ImageDataGenerator
GRADED FUNCTION: image_generator
def image_generator():
### START CODE HERE
# Instantiate the ImageDataGenerator class.
# Remember to set the rescale argument.
train_datagen = ImageDataGenerator(rescale=1/255)
# Specify the method to load images from a directory and pass in the appropriate arguments:
# - directory: should be a relative path to the directory containing the data
# - targe_size: set this equal to the resolution of each image (excluding the color dimension)
# - batch_size: number of images the generator yields when asked for a next batch. Set this to 10.
# - class_mode: How the labels are represented. Should be one of "binary", "categorical" or "sparse".
# Pick the one that better suits here given that the labels are going to be 1D binary labels.
train_generator = train_datagen.flow_from_directory(directory=,
target_size=(150, 150),
batch_size=128,
class_mode='binary')
### END CODE HERE
return train_generator