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