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Supervised Deep Learning with Auxiliary Networks
Published on Oct 07, 20142681 Views
Deep learning well demonstrates its potential in learning latent feature representations. Recent years have witnessed an increasing enthusiasm for regularizing deep neural networks by incorporating va
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Chapter list
Supervised Deep Learning with Auxiliary Networks00:00
Deep Learning - 100:41
Deep Learning - 201:17
Deep Learning - 301:32
Existing Deep Learning Schemes - 102:11
Existing Deep Learning Schemes - 202:22
Existing Deep Learning Schemes - 302:33
Problems & Shortcoming03:20
Solution: SUGAR - 104:16
Solution: SUGAR - 204:40
Solution: SUGAR - 304:51
Solution: SUGAR - 405:07
Main Network - 105:21
Main Network - 205:26
Main Network - 305:30
Main Network - 405:32
Main Network - 505:34
Main Network - 605:36
Auxiliary Network - 105:54
Auxiliary Network - 206:13
Auxiliary Network - 306:43
Auxiliary Network - 406:47
Bridge: Mixed Objective - 107:38
Bridge: Mixed Objective - 208:25
Extensions: SUGAR with Various Autoencoder08:35
Deep SUGARs - 109:04
Deep SUGARs - 209:07
Experiments: Datasets09:34
Baseline methods10:07
Performance Evaluation: Shallow Architecture on MNIST - 110:32
Performance Evaluation: Shallow Architecture on MNIST - 210:34
Performance Evaluation: Shallow Architecture on MNIST - 312:20
Performance Evaluation: Shallow Architecture12:38
Deep Architecture on Benchmark Classification Tasks13:14
Conclusions14:06
Q & A Thanks15:05