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License: MIT License
This project is the implementation of the "Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification" paper
License: MIT License
Hi,
In the related paper, the parameters encoded for a skip layer are the numbers of the feature maps for the two convolutional layers (denoted as F1 and F2, respectively). But you stated them as filter sizes and values of power of 2. I'm trying to figure out the article and implementation. Would you explain to me your point of view about that?
Thank you.
Hello sir,
I need to use your code for my project. How can I use your code?
I have an image image folder which has 3 subclasses. I need to find optimized model for it.
Have a nice day.
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