Hello,
Just starting to use images to learn, I have a question. I have a 80*80 image going into the following architecture:

Convolution that outputs 16 feature maps using an 8*8 kernel Conv2d(1,16,(8,8))

Convolution that takes the 16 outputs as input and outputs 32 feature maps using an 4*4 kernel  Conv2d(16,32,(4,4))

I want to take the output of this last layer and stick it into a 256 unit fully connected layer but I run into a dimensional error.
Any tips ?

Thanks a lot !