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

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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Methods used in the Paper


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