Hi,
I am looking ‘Bayesian optimization’ for hyper-parameter tuning
for my multi-layered neural networks.
What I would like to optimize are like, ‘learning rate, batch size, number of layers and neurons’
Can you guide me any example or tutorial for bayesian optimization?
Also, Can you recommend any library for this?
I’ve been looking through ‘hyper-opt’ or ‘bayesian-optimization’ libraries and wondering if they works for pytorch.
Thanks in advance.