# Module: tf.compat.v1.keras.applications.convnext

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## Functions

[`ConvNeXtBase(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/applications/convnext/ConvNeXtBase): Instantiates the ConvNeXtBase architecture.

[`ConvNeXtLarge(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/applications/convnext/ConvNeXtLarge): Instantiates the ConvNeXtLarge architecture.

[`ConvNeXtSmall(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/applications/convnext/ConvNeXtSmall): Instantiates the ConvNeXtSmall architecture.

[`ConvNeXtTiny(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/applications/convnext/ConvNeXtTiny): Instantiates the ConvNeXtTiny architecture.

[`ConvNeXtXLarge(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/applications/convnext/ConvNeXtXLarge): Instantiates the ConvNeXtXLarge architecture.

[`decode_predictions(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/applications/convnext/decode_predictions): Decodes the prediction of an ImageNet model.

[`preprocess_input(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/applications/convnext/preprocess_input): A placeholder method for backward compatibility.