Hyperparameter tuning— grid search vs random search

Deep Learning has proved to be a fast evolving subset of Machine Learning. It aims to identify patterns and make real world predictions by mimicking the human brain. Models based on such kinds of neural network topology has applications in virtually every industry. The most important step among all the (integral) steps is perhaps the training of such a model so that it is capable of making robust predictions in any new testing data. …

Kuldeep Chowdhury

Data Science enthusiast. Writer @GeekCulture

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