import tensorflow as tf import matplotlib.pyplot as plt #Preprocesamiento de imagenes del conjunto de entrenamiento training_set = tf.keras.utils.image_dataset_from_directory( 'FruitTrainingDataset/train', labels="inferred", label_mode="categorical", class_names=None, color_mode="rgb", batch_size=32, image_size=(64, 64), shuffle=True, seed=None, validation_split=None, subset=None, interpolation="bilinear", follow_links=False, crop_to_aspect_ratio=False ) #Preprocesamiento de imagenes del conjunto de validacion validation_set = tf.keras.utils.image_dataset_from_directory( 'FruitTrainingDataset/validation', labels="inferred", label_mode="categorical", class_names=None, color_mode="rgb", batch_size=32, image_size=(64, 64), shuffle=True, seed=None, validation_split=None, subset=None, interpolation="bilinear", follow_links=False, crop_to_aspect_ratio=False )