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datagen_test = ImageDataGenerator(rescale = 1/255.0) | |
test_data_generator = datagen.flow_from_directory(directory="cell_images/valid", target_size = (img_width, img_height), | |
class_mode="binary", batch_size = 16, subset = "training") | |
model.evaluate(test_data_generator) |
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