Hello :), I want to calculate the derivatives of a function, where I want to realize the function in a less memory requirements way, so I need a for loop in theano.
For the case, where P_temp (see below) is constant, I found something in the internet: http://deeplearning.net/software/theano ... /scan.html <http://deeplearning.net/software/theano/library/scan.html> But for the case here below, I did not found anything: 1. P = T.zeros((M,M)) 2. for i in range(0, N): 3. P_temp = np.exp(SIGMA_trf[i , :]) * np.cos(MU[i , :]) 4. P = P + P_temp Can you help me with this or show me some reference? Thanks! -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
