Best CNN architecture for binary classification of small images with a massive dataset The title has it all...

Any tip is welcomed.

Should I use a very deep convolutional neural network ?

Use a large amount of filters ?

Parallel layers ?

Dataset examples:

1) "Good"



2) "Bad"
It all depends on the dataset, there is no single model can be the best. 

I would prefer to try a transfer learning Resnet34 or resnet50 with a custom last layer for the number of class of classification.