Frank-Sin99

For me the same. But I think this is not related special to hyperas? maybe you need to set this seed to for same results. Have you tried it?

I set for my reproducibility ``` from numpy.random import seed seed(5) os.environ['PYTHONHASHSEED'] = '0' random.seed(5) from tensorflow import set_random_seed set_random_seed(5) ``` I don't quite understand ho to translate np.random.RandomState(rseed) to...

Right now I use a simple MSE or simple contrastive loss. But I feel that I need to do a pairwise or triplet or even a listwise loss to do...

Hey @tlatkowski Why are you using in your CNN Network just the distance as output? Have you tried feeding the distance to a sigmoid layer? Or instead of using distance...