In the training mode my LIF based network is learning properly.
But when i set the net.eval() , the acccuracy is very low. After finishing the training, I checked the trained model for the evaluation set without setting net.eval(), In that case accuracy was good. But when i evaluated after setting net.eval() as the accuracy it gives a noisy very very low value. Do you have any suggestions or any idea about what is happening ?
(i am running in multistep mode. i am doing the functional.reset_net() for each batch also)
Hi,
In the training mode my LIF based network is learning properly. But when i set the net.eval() , the acccuracy is very low. After finishing the training, I checked the trained model for the evaluation set without setting net.eval(), In that case accuracy was good. But when i evaluated after setting net.eval() as the accuracy it gives a noisy very very low value. Do you have any suggestions or any idea about what is happening ? (i am running in multistep mode. i am doing the functional.reset_net() for each batch also)
Thank you.
Thanks and Rgds, Udayanga