This is a series of tutorials on how to implement an automatic neural network architecture/hyperparameter search using keras and nevergrad, which will allow us to find the best achitecture and hyperparameters for our network in a vast possibility space.
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This is a tutorial on how to implement an automatic hyperparameter search, using keras and recently shared with the world nevergrad, which will allow us to use its optimizers to find our best hyperparameters