Hello, everyone,
my question is not directly Pytorch special and of a more general nature, but i hope you can help me anyway.
I would like to learn my network with data we collected in a test mode. (For example: A picture and data A, B, C, D). Now the network is trained and I leave the test mode. In the actual operation, however, only the data A, C and D are available. Do I have to thin it out before or can I replace the Inputs with Zeros? will the accuracy of the system suffer? Is it even possible to use the network? If Yes, How?
The problem is, I can not do without the data of the test operation, because without it my accuracy is not high enough.