About Bayes Optimization input
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Jingyuan Yao
le 21 Nov 2019
Commenté : Jingyuan Yao
le 9 Mai 2020
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
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Kavya Vuriti
le 26 Nov 2019
Hi,
Here is an example of applying Bayesian optimization to deep learning and finding optimal network hyperparameters. Hope this helps.
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