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module 'tensorflow._api.v1.keras.losses' has no attribute 'SparseCategoricalCrossentropy'

Discussion in 'Artificial Intelligence & Machine Learning' started by bharose, Feb 6, 2021.

  1. bharose

    bharose New Member

    I am building a CNN model with tensorflow and keras.

    I am running following code and getting error-

    module 'tensorflow._api.v1.keras.losses' has no attribute 'SparseCategoricalCrossentropy'

    Code is
    Code:
    model.compile(optimizer='adam',
                  loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),
                  metrics=['accuracy'])
    
    history = model.fit(train_images, train_labels, epochs=10,
                        validation_data=(test_images, test_labels))
    Response is

    Code:
    ---------------------------------------------------------------------------
    AttributeError                            Traceback (most recent call last)
    <ipython-input-11-fd9ae10ce238> in <module>
          1 model.compile(optimizer='adam',
    ----> 2               loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),
          3               metrics=['accuracy'])
          4
          5 history = model.fit(train_images, train_labels, epochs=10,
    
    AttributeError: module 'tensorflow._api.v1.keras.losses' has no attribute 'SparseCategoricalCrossentropy'
     

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