Genetic algorithm to optimize hyperparameters in a Deep learning net
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I have made a network using the deep learning toolbox with various hyperparameters such as mini-batch size and number of neurons per layer etc. Currently I am using a grid search to find the best combinations but is there a way to use the genetic algortihm in the Optimization toolbox to find the best architecture? I have read similar threads but none seem to explain how one could achieve this. Any explanations or examples of code would be really appreciated!
Dinesh Yadav 2020년 6월 2일
Kindly go through the following code in File Exchange
And also this thread
Hope it gives you some insights.