UGR_TFG:在EEG分类的背景下，深层神经网络中的超参数优化
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2021-05-01
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UGR_TFG:在EEG分类的背景下，深层神经网络中的超参数优化 （550个子文件） 
300i_150g_104 7KB 300i_150g_104 3KB 300i_150g_107 7KB 300i_150g_107 3KB 300i_150g_110 7KB 300i_150g_110 3KB 500i_100g_104 7KB 500i_100g_104 2KB 500i_100g_107 7KB 500i_100g_107 2KB 500i_100g_110 7KB 500i_100g_110 2KB 800i_200g_104 7KB 800i_200g_104 4KB 800i_200g_107 7KB 800i_200g_107 4KB 800i_200g_110 7KB 800i_200g_110 4KB Bibliography.bib 7KB cpu 564B cv_104 458B cv_107 455B cv_110 455B .gitignore 390B .gitkeep 2B gpu 569B
logo_ugr.jpg 52KB learning_104 455B learning_107 457B learning_110 459B LICENSE 34KB logreg_104 4KB logreg_107 4KB logreg_110 4KB README.md 3KB not_simplicity_104 4KB not_simplicity_107 4KB not_simplicity_110 4KB feature_selection_population_107.npy 3.43MB feature_selection_population_104.npy 3.43MB feature_selection_population_110.npy 3.43MB feature_selection_population_110.npy 2.75MB feature_selection_population_110.npy 2.75MB feature_selection_population_110.npy 2.75MB feature_selection_population_107.npy 2.75MB feature_selection_population_107.npy 2.75MB feature_selection_population_107.npy 2.75MB feature_selection_population_107.npy 2.75MB feature_selection_population_110.npy 2.75MB feature_selection_population_104.npy 2.75MB feature_selection_population_104.npy 2.75MB feature_selection_population_104.npy 2.75MB feature_selection_population_107.npy 2.75MB feature_selection_population_104.npy 2.75MB feature_selection_population_110.npy 2.75MB feature_selection_population_110.npy 2.75MB feature_selection_population_110.npy 2.75MB feature_selection_population_104.npy 2.75MB feature_selection_population_107.npy 2.75MB feature_selection_population_107.npy 2.75MB feature_selection_population_110.npy 2.75MB feature_selection_population_104.npy 2.75MB feature_selection_population_107.npy 2.75MB feature_selection_population_110.npy 2.75MB feature_selection_population_107.npy 2.75MB feature_selection_population_107.npy 2.75MB feature_selection_population_110.npy 2.75MB feature_selection_population_104.npy 2.75MB feature_selection_population_104.npy 2.75MB feature_selection_population_107.npy 2.75MB feature_selection_population_110.npy 2.75MB feature_selection_population_104.npy 2.75MB feature_selection_population_104.npy 2.75MB feature_selection_population_110.npy 2.75MB feature_selection_population_104.npy 2.75MB feature_selection_population_107.npy 2.75MB feature_selection_population_104.npy 2.75MB feature_selection_population_104.npy 1.72MB feature_selection_population_107.npy 1.72MB feature_selection_population_110.npy 1.72MB feature_selection_population_104.npy 1.72MB feature_selection_population_110.npy 1.72MB feature_selection_population_107.npy 1.72MB feature_selection_population_104.npy 1.03MB feature_selection_population_104.npy 1.03MB feature_selection_population_110.npy 1.03MB feature_selection_population_104.npy 1.03MB feature_selection_population_107.npy 1.03MB feature_selection_population_110.npy 1.03MB feature_selection_population_107.npy 1.03MB feature_selection_population_110.npy 1.03MB feature_selection_population_110.npy 1.03MB feature_selection_population_107.npy 1.03MB feature_selection_population_107.npy 1.03MB feature_selection_population_110.npy 1.03MB feature_selection_population_110.npy 1.03MB feature_selection_population_107.npy 1.03MB feature_selection_population_104.npy 1.03MB feature_selection_population_110.npy 1.03MB feature_selection_population_107.npy 1.03MB共 550 条
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