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Genetic algorithm to optimize hyperparameters in a Deep learning net

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Hi all
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!

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Muhammad Mohsin Khan
Muhammad Mohsin Khan on 28 Jun 2020
Hello Raidoo,
Will you like to share your Grid search or GA code for deep learning time series data ? If can not any other help ?

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