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Implementing distributed grid search for deep learning using scikit learn and joblib


PyData Chicago 2016


Grid search over hyperparameters is an important but computationally expensive process in machine learning, particularly for deep learning and tree ensembles. In this talk, I will describe how one can use joblib's recently added custom backend functionality to do distributed grid search on Amazon EC2 for a TensorFlow deep text classifier that follows the scikit-learn estimator API.

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