Crax Rat | ((install))

# Building the model base_model = VGG16(weights='imagenet', include_top=False, input_shape=(224, 224, 3))

validation_datagen = ImageDataGenerator(rescale=1./255) crax rat

# Assuming you've collected and preprocessed your data train_dir = 'path/to/train' validation_dir = 'path/to/validation' crax rat

validation_generator = validation_datagen.flow_from_directory(validation_dir, target_size=(224, 224), batch_size=32, class_mode='categorical') crax rat