Hello,
I’m trying to build a model for emotion detection using custom created model but didn’t get very good accuracy . Actually I wanted to use transfer learning in first thought but I got to know that the minimum input image size for almost all deep CNN is 224x224, the size of my dataset is 48x48 and I’ve tried to create many models in last week and I can’t find the best model with fine tuned parameters. I don’t know how to feed this image size to the already trained neural networks.  The dataset is very large of 28,000 images of 7 class. Up sampling will blur the image so I need other idea to fulfill the requirement. Please anyone help me out here.
Thanks in advance.