GitHub - parissashahabi/Neural-Architecture-Search-for-CIFAR-10-Image-Classification: Applied evolutionary algorithms to automate deep neural network design for image classification. The network architecture was optimized by selecting the best feature extractor, number of hidden layers, number of neurons, and activation function from a predefined search space.

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Applied evolutionary algorithms to automate deep neural network design for image classification. The network architecture was optimized by selecting the best feature extractor, number of hidden layers, number of neurons, and activation function from a predefined search space.

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
__pycache__		__pycache__
.gitignore		.gitignore
NAS.ipynb		NAS.ipynb
ans.txt		ans.txt
chromosome.py		chromosome.py
evolutionary.py		evolutionary.py
fitness_average.png		fitness_average.png
histories.csv		histories.csv
main.py		main.py
util.py		util.py
visualize.py		visualize.py