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What is Comparing NAS Optimization Methods about?

This document compares grid search, random search, and genetic algorithms for neural architecture search (NAS) on convolutional neural networks (CNNs). It defines the basic search space as a chain-structured space with convolutional and dense cells. Experiments on CIFAR-10 show that genetic algorithms outperform grid search and random search, finding neural network architectures with higher accuracy in less time due to their ability to evolve better solutions over generations by simulating biological evolut

Author

Dr. Khan Muhammad

Language

EN