About Bayes Optimization input

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

Answer 1

[Kavya Vuriti]

Hi,

Here is an example of applying Bayesian optimization to deep learning and finding optimal network hyperparameters. Hope this helps.

[Jingyuan Yao]

hey thanks a lot for the answer! it has been useful