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Merge pull request #2072 from RenuPatelGoogle:patch-17
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site/en/tutorials/keras/keras_tuner.ipynb

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"* By using a model builder function\n",
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"* By subclassing the `HyperModel` class of the Keras Tuner API\n",
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"\n",
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"You can also use two pre-defined `HyperModel` classes - [HyperXception](https://keras-team.github.io/keras-tuner/documentation/hypermodels/#hyperxception-class) and [HyperResNet](https://keras-team.github.io/keras-tuner/documentation/hypermodels/#hyperresnet-class) for computer vision applications.\n",
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"You can also use two pre-defined [HyperModel](https://keras.io/api/keras_tuner/hypermodels/) classes - [HyperXception](https://keras.io/api/keras_tuner/hypermodels/hyper_xception/) and [HyperResNet](https://keras.io/api/keras_tuner/hypermodels/hyper_resnet/) for computer vision applications.\n",
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"\n",
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"In this tutorial, you use a model builder function to define the image classification model. The model builder function returns a compiled model and uses hyperparameters you define inline to hypertune the model."
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