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Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture

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Cartesian Genetic Programming for CNN Design

As part of my master thesis I'm trying to find an approach to optimize CNN architectures. To be more accurate a architecture which is not too complex and able to run in real time on embedded devices. I've found the paper A Genetic Programming Approach to Designing Convolutional Neural Network Architectures and this repository is my implementation. In this approach it uses a special form of Genetic Programming, it is called Cartesian Genetic Programming.

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A simple example what happens when the CGP algorithm is used. Each frame is a mutation of a gene and the corresponding CNN. CGP Grid

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