Regularization Methods for Machine Learning 2016
RegML

Info hash493251615310f9b6ae1f483126292378137074cd
Last mirror activity9d,21:09:28 ago
Size4.59GB (4,589,105,323 bytes)
Added2016-09-08 16:51:35
Views2180
Hits5261
ID3373
Typemulti
Downloaded3463 time(s)
Uploaded by gravatar.com icon for user joecohen
Folderregularization_methods_for_machine_learning_2016
Num files16 files
File list [Hide list]
Class 1 - Statistical Learning Theory-E1bIqR8Bqr0.mkv 816.82MB
Class 2 - Tikhonov regularization and kernels-xevu1vRdX6w.mp4 576.41MB
Class 3 - Early Stopping and Spectral Regularization-D4C0GfbV4kE.mkv 508.79MB
Class 4 - Regularization for multi-task learning-FX9wIzyhGSA.mp4 392.28MB
Class 5 - Sparsity based regularization-ItfAmoSZRJs.mp4 647.77MB
Class 6 - Structured sparsity-uusYjnAhH98.mkv 659.39MB
Class 7 - Dictionary learning-mqDzeVsiyig.mkv 488.30MB
Class 8 - Deep learning-vRJllrpBao0.mp4 484.25MB
lectures/lec3.pdf 244.75kB
lectures/lec4.pdf 5.91MB
lectures/lec5.pdf 430.89kB
lectures/lec6.pdf 238.18kB
lectures/lec7.pdf 1.36MB
lectures/lec8.pdf 4.60MB
lectures/lect1.pdf 1.80MB
lectures/lect2.pdf 522.21kB
Mirrors0 complete, 0 downloading = 0 mirror(s) total [Log in to see full list]


Send Feedback Start
   0.000014
DB Connect
   0.001355
Lookup hash in DB
   0.001367
Get torrent details
   0.000539
Get torrent details, finished
   0.000795
Get authors
   0.000121
Parse bibtex
   0.002442
Write header
   0.001140
get stars
   0.000456
target tab
   0.000034
Request peers
   0.000713
Write table
   0.021795
geoloc peers
   0.000011
render right panel
   0.000037
render ads
   0.001561
fetch current hosters
   0.001053
Done