Same Accuracy about genetic-cnn HOT 3 CLOSED

Well I overlooked that someone (#3) had the same problem.
But still after reading the paper, I don't really understand why this is happening.

from genetic-cnn.

Hi,

First to be clear the paper is not mine I implemented the idea presented in the paper.
Before using genetic algorithm to optimize the architecture, I would suggest you to look into dataset (if it is correctly labeled and normalized) then train a simple model and make sure the loss is minimizing. Later on try genetic algorithm to optimize the architecture. Again start with simple building blocks to make debugging easier. Importantly, I merely provided a very simplistic architecture, you need to find building block that works on your problem and then use GA to find optimal connections. Hope this helps.

from genetic-cnn.

Thank you for your response. Now I figured out what you've done in the code.
I modified the code to be able to add more channels per convolution and I have done some other stuff, like keeping the output size the same per convolution per stage. Thus, I get better accuracies (the right ones) as well as fitness scores.
I've forked your repository and there I'll be sharing my modifications.

So, yes, it helped, indeed. Thank you very much!

from genetic-cnn.