Index of /videos/courses/specializations/deep_learning.old/deep-neural-network/01_practical-aspects-of-deep-learning/03_setting-up-your-optimization-problem

[ICO]NameLast modifiedSizeDescription
[PARENTDIR]Parent Directory  -  
[TXT]01_normalizing-inputs.en.srt2018-03-09 15:21 7.5K 
[TXT]01_normalizing-inputs.en.txt2018-03-09 15:21 4.8K 
[VID]01_normalizing-inputs.mp42018-03-09 15:21 6.9M 
[ ]01_normalizing-inputs.zh-CN.srt2018-03-09 15:21 6.9K 
[TXT]01_normalizing-inputs.zh-CN.txt2018-03-09 15:21 4.2K 
[ ]01_normalizing-inputs.zh-TW.srt2018-03-09 15:21 6.7K 
[TXT]01_normalizing-inputs.zh-TW.txt2018-03-09 15:21 4.0K 
[ ]01_normalizing-inputs_C2W1L06.pptx2018-03-09 15:21 3.3M 
[TXT]02_vanishing-exploding-gradients.en.srt2018-03-09 15:21 8.2K 
[TXT]02_vanishing-exploding-gradients.en.txt2018-03-09 15:21 4.8K 
[VID]02_vanishing-exploding-gradients.mp42018-03-09 15:21 8.2M 
[ ]02_vanishing-exploding-gradients.zh-CN.srt2018-03-09 15:21 7.5K 
[TXT]02_vanishing-exploding-gradients.zh-CN.txt2018-03-09 15:21 4.0K 
[ ]02_vanishing-exploding-gradients.zh-TW.srt2018-03-09 15:21 7.3K 
[TXT]02_vanishing-exploding-gradients.zh-TW.txt2018-03-09 15:21 3.8K 
[ ]02_vanishing-exploding-gradients_C2W1L07.pptx2018-03-09 15:21 302K 
[TXT]03_weight-initialization-for-deep-networks.en.srt2018-03-09 15:22 8.0K 
[TXT]03_weight-initialization-for-deep-networks.en.txt2018-03-09 15:22 5.0K 
[VID]03_weight-initialization-for-deep-networks.mp42018-03-09 15:22 7.9M 
[ ]03_weight-initialization-for-deep-networks.zh-CN.srt2018-03-09 15:22 7.4K 
[TXT]03_weight-initialization-for-deep-networks.zh-CN.txt2018-03-09 15:22 4.4K 
[ ]03_weight-initialization-for-deep-networks.zh-TW.srt2018-03-09 15:22 7.0K 
[TXT]03_weight-initialization-for-deep-networks.zh-TW.txt2018-03-09 15:22 4.0K 
[TXT]04_numerical-approximation-of-gradients.en.srt2018-03-09 15:22 9.0K 
[TXT]04_numerical-approximation-of-gradients.en.txt2018-03-09 15:22 5.8K 
[VID]04_numerical-approximation-of-gradients.mp42018-03-09 15:22 8.3M 
[ ]04_numerical-approximation-of-gradients.zh-CN.srt2018-03-09 15:22 7.5K 
[TXT]04_numerical-approximation-of-gradients.zh-CN.txt2018-03-09 15:22 4.2K 
[ ]04_numerical-approximation-of-gradients.zh-TW.srt2018-03-09 15:22 7.5K 
[TXT]04_numerical-approximation-of-gradients.zh-TW.txt2018-03-09 15:22 4.3K 
[ ]04_numerical-approximation-of-gradients_C2W1L08.pptx2018-03-09 15:22 304K 
[TXT]05_gradient-checking.en.srt2018-03-09 15:22 9.2K 
[TXT]05_gradient-checking.en.txt2018-03-09 15:22 5.8K 
[VID]05_gradient-checking.mp42018-03-09 15:22 8.1M 
[ ]05_gradient-checking.zh-CN.srt2018-03-09 15:22 7.9K 
[TXT]05_gradient-checking.zh-CN.txt2018-03-09 15:22 4.4K 
[ ]05_gradient-checking.zh-TW.srt2018-03-09 15:22 7.8K 
[TXT]05_gradient-checking.zh-TW.txt2018-03-09 15:22 4.4K 
[ ]05_gradient-checking_C2W1L09.pptx2018-03-09 15:22 314K 
[TXT]06_gradient-checking-implementation-notes.en.srt2018-03-09 15:22 7.8K 
[TXT]06_gradient-checking-implementation-notes.en.txt2018-03-09 15:22 5.0K 
[VID]06_gradient-checking-implementation-notes.mp42018-03-09 15:22 6.9M 
[ ]06_gradient-checking-implementation-notes.zh-CN.srt2018-03-09 15:22 7.1K 
[TXT]06_gradient-checking-implementation-notes.zh-CN.txt2018-03-09 15:22 4.3K 
[ ]06_gradient-checking-implementation-notes.zh-TW.srt2018-03-09 15:22 6.8K 
[TXT]06_gradient-checking-implementation-notes.zh-TW.txt2018-03-09 15:22 4.0K