how to deal with out of memory error when training a large data set or large neural network narx

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how to deal with out of memory error when training a large data set or large neural network stacked autoencoder ......just initiated to analyze deep neural network with time series predictions , what i guess is by using batch trainings but can any one help me in detail

Risposte (2)

Greg Heath
Greg Heath il 15 Apr 2015
What are
1. input and target
2. size(input), size(target)
3. Significant lags of
a. target autocorrelation function
b. input/target cross correlation function

SAM
SAM il 15 Apr 2015
Modificato: SAM il 15 Apr 2015
i am xtremly sorry i wrote narx but i actually tried it with stacked autoencoder . hidden layers [100 150] even on HPC server i was getting same out of memory error.
inputs are 4 *2795 and output 1*2795 .

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