nnnet
nnnet
pls, correct code + here and in nearby pf = PF = lambda eqd: abs(eqd[eqd > 0].sum() / eqd[eqd < 0].sum()) get error when eqd[eqd < 0].sum() == 0
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Арсений, добрый день! В продолжение вчерашнего разговора: - залил форк for Python 3.5 and Theano 1.0.0 https://github.com/nnnet/Variational-dropout-sparsifies-dnn с последними Вашими коммитами - по примерам *.ipynb напишу в мессенджер
Is it possible(how?) to implement a warm start? For example the objective function has a single parameter space=hp.uniform('a', -10, 10) We already know 3 of the evaluation of the function...