Automated Machine Learning: Grid Search and Random Search

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In this video, we look at two methods to perform hyperparameter optimization (finding the best hyperparameters for a learning algorithm to maximize the performance), namely grid search and random search.

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Комментарии
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Thank you for the explanation, I found it very clear :)

zukofire
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Great explanation. Would be helpful if Hyperparameter Tuning was also included in the vid along with other background information.

mohammadadnan
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How often are these methods even used in practise because from what I have realized you would need to retrain neural network as many times as there are combinations/configurations?

drazen.antunovic
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Why are we using logUniform and not just uniform? I didnt quite get that.

papa-hz