Hyperparameter optimization can be very tedious for neural networks. Bayesian hyperparameter optimization shows some promise of a better technique. In this video, I introduce Bayesian hyperparameter optimization for Keras and TensorFlow.

Code for this video:
https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_08_4_bayesian_hyperparameter_opt.ipynb
Course homepage: https://sites.wustl.edu/jeffheaton/t81-558/

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