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

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PyData Chicago 2016

Slides: https://mheilman.github.io/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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