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This is a notebook which uses keras tuner to optimize the hyperparameters of a model on CIFAR-10.

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Keras tuner is one of the easiest ways of hyperparameter tuning. This code serves as a reference how to use it to create "hypermodels". Hypermodels are models which do not have a fixed amount of layers defined at the beginning of training. The amount of layers is also optimized during hyperparameter tuning.

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This is a notebook which uses keras tuner to optimize the hyperparameters of a model on CIFAR-10.

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