Hyperoptとその周辺について

The document discusses hyperparameter optimization in machine learning models. It introduces various hyperparameters that can affect model performance, and notes that as models become more complex, the number of hyperparameters increases, making manual tuning difficult. It formulates hyperparameter optimization as a black-box optimization problem to minimize validation loss and discusses challenge

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せっかく作ったのに社内勉強会用だけで眠らせるのは勿体ないので公開 これで最近のは全部 Hyperoptとその周辺について #deeplearning #machinelearning @SlideShareさんから https://t.co/9AOvObTrwM