Why i am always getting 'Minimum gradient reached' message?

Hello everyone! i am training my large data using nntool, my inputs are 6x9115 and targets are also same, when i train the data i am getting 'minimum gradient reached' message always.

Is it possible that due to my large data i am getting this message?

is there any specific algorithm for large data?

if anyone know kindly help me.

Best regards

Answer 1

[Udit06]

Refer the following MATLAB answer that discusses a similar issue:

https://www.mathworks.com/matlabcentral/answers/131759-the-neural-network-stops-before-it-starts-minimum-gradient-reached-error