Architecture search using unsupervised learning with symmetric auto-encoders and QLearning in PyTorch
To run search:
python run.py --data path_to_dataset
To run architectures from search:
python runArchs.py --data path_to_dataset --csv_path path_to_csv_sorted_by_reward --no no_of_top_archs_to_fullTrain
SAGNIKMJR/ArchitectureSearch_Supervised_AE_QLearning_PyTorch
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Architecture search using unsupervised learning with symmetric auto-encoders and QLearning in PyTorch
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