A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)
MIT License
46
stars
24
forks
source link
Looking for help: The CGP-CNN (ConvSet) and CGP-CNN (ResSet) consist of two basic constituent unit modules in the text. However, when I ran the code I found that the two basic unit modules were mixed in one network at the same time. Is there a parameter variable in the code that can be controlled to get the results in the paper. #13
The CGP-CNN (ConvSet) and CGP-CNN (ResSet) consist of two basic constituent unit modules in the text. However, when I ran the code I found that the two basic unit modules were mixed in one network at the same time. Is there a parameter variable in the code that can be controlled to get the results in the paper (Figure 1-3)?
Figure 1:
Figure 2:
Figure 3:
The CGP-CNN (ConvSet) and CGP-CNN (ResSet) consist of two basic constituent unit modules in the text. However, when I ran the code I found that the two basic unit modules were mixed in one network at the same time. Is there a parameter variable in the code that can be controlled to get the results in the paper (Figure 1-3)? Figure 1: Figure 2: Figure 3: