Index of /~dgb/courses/ai2

[ICO]NameLast modifiedSizeDescription

[PARENTDIR]Parent Directory  -  
[   ]01_nonlinear_models.pdf2018-01-09 12:13 216K 
[   ]02_decision_trees.pdf2018-01-09 12:13 287K 
[   ]03_ensembles.pdf2018-01-16 17:43 253K 
[   ]04_methodology.pdf2018-01-16 17:43 147K 
[   ]05_over_n_under_fitting.pdf2018-01-25 14:31 217K 
[   ]06_feature_engineering.pdf2018-01-25 14:31 192K 
[   ]07_regularization.pdf2018-02-01 10:55 206K 
[   ]08_neural_networks.pdf2018-02-01 10:55 313K 
[   ]09_nn_examples.pdf2018-02-07 17:15 181K 
[   ]10_backprop.pdf2018-02-07 17:15 136K 
[   ]11_vanishing_gradients.pdf2018-02-15 11:30 184K 
[   ]12_nn_overfitting.pdf2018-02-15 11:31 157K 
[   ]13_convnets.pdf2018-02-23 10:49 277K 
[   ]14_convnet_example.pdf2018-02-23 10:49 2.1M 
[   ]15_pretrained_convnets.pdf2018-03-05 10:09 124K 
[   ]16_transfer_learning.pdf2018-03-05 10:09 228K 
[   ]17_rnns.pdf2018-03-08 10:31 302K 
[   ]18_rnn_example.pdf2018-03-08 10:31 248K 
[   ]19_nlp.pdf2018-03-15 10:54 205K 
[   ]20_rl.pdf2018-04-09 09:24 328K 
[   ]21_conclusions.pdf2018-04-10 13:56 287K 
[   ]CS4619Resources.tar2018-04-10 13:56 214M 
[   ]CS4619_CA.pdf2018-03-29 14:06 37K 
[   ]Sample.pdf2018-03-15 10:54 176K 
[TXT]instructions.txt2018-02-26 09:16 4.0K