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Optimal Convergence Rate in Deep Neural Networks using HJB equation

MATLAB 1.81% C 6.76% CSS 0.06% HTML 20.30% JavaScript 0.31% Batchfile 0.03% Makefile 0.24% C++ 54.04% Objective-C 0.01% M 0.01% Shell 0.17% CMake 1.91% Fortran 14.29% Python 0.09%
deep-learning optimization-algorithms convergence

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iitk_finalyear_project's Issues

It seems that there are some problems of the code

When I was trying to use these code, I found that error:

==7381== Process terminating with default action of signal 11 (SIGSEGV)
==7381==  Access not within mapped region at address 0x8
==7381==    at 0x118ED8: eta_tranJ_e_mult(std::vector<double, std::allocator<double> >&, double, std::vector<std::vector<double, std::allocator<double> >, std::allocator<std::vector<double, std::allocator<double> > > >, std::vector<double, std::allocator<double> >) (train_BP_online.cpp:17)
==7381==    by 0x119392: train_BP_online(NET&, std::vector<DATA, std::allocator<DATA> >&, PRM, double) (train_BP_online.cpp:61)
==7381==    by 0x115F72: main (main.cpp:75)
==7381==  If you believe this happened as a result of a stack
==7381==  overflow in your program's main thread (unlikely but
==7381==  possible), you can try to increase the size of the

Then I realized that these vector defined:

    vector<double> x,yd,err,e,u,save_err,save_ratio;
    vector< vector<double> > J;
    vector<OUTS> v;

have no initlization.

I want to know how can you make these code work, thanks.

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