Forecasting Deep Learning Dynamics with Applications to Hyperparameter Tuning

Anonymous

Well-performing deep learning models have enormous impact, but getting them to perform well is complicated, as the model architecture must be chosen and a number of hyperparameters tuned. This requires experimentation, which is timeconsuming and costly... (read more)

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