About Bayes Optimization input

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hey guys I am doing a project and I need to do a hyperparameter optimization with Bayes.
I know the Bayes optimization finds the best hyperparameter like numbers of neurons or the depth of the neural net. So basically it optimizes the neuroal network, right?
I would like to know how does the input look like in such optimization. It is a matrix or shall I load the whole neurnal network for optimization?
And how can I load the data at all?
looking forward for your answer, cheers

Accepted Answer

Kavya Vuriti
Kavya Vuriti on 26 Nov 2019
Here is an example of applying Bayesian optimization to deep learning and finding optimal network hyperparameters. Hope this helps.
  1 Comment
Jingyuan Yao
Jingyuan Yao on 9 May 2020
hey thanks a lot for the answer! it has been useful

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