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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.
parissashahabi/Neural-Architecture-Search-for-CIFAR-10-Image-Classification
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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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- Jupyter Notebook 95.2%
- Python 4.8%