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Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS

12 Dec 2019 • Petro Liashchynskyi • Pavlo Liashchynskyi

In this paper, we compare the three most popular algorithms for hyperparameter optimization (Grid Search, Random Search, and Genetic Algorithm) and attempt to use them for neural architecture search (NAS). We use these algorithms for building a convolutional neural network (search architecture)... (read more)

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HYPERPARAMETER OPTIMIZATION

NEURAL ARCHITECTURE SEARCH

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METHOD	TYPE
Random Search	Hyperparameter Search
Sigmoid Activation	Activation Functions
Tanh Activation	Activation Functions
Softmax	Output Functions
LSTM	Recurrent Neural Networks

Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS

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