ajayn1997 / Neural-Architecture-Search-using-Reinforcement-Learning
An implementation of neural architecture search using the REINFORCE algorithm. we use a re-current network to generate the model descriptions of neural networks and trainthis RNN with reinforcement learning to maximize the expected accuracy of thegenerated architectures on a validation set. This algorithm is tested on the CIFAR-10 dataset. The p…
☆6Updated 4 years ago
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