CS231n: Convolutional Neural Networks Spring 2017
Stanford

Info hashed8a16ebb346e14119a03371665306609e485f13
Last mirror activity5d,13:09:51 ago
Size2.63GB (2,625,171,165 bytes)
Added2018-09-25 19:13:18
Views2206
Hits13913
ID3987
Typemulti
Downloaded30798 time(s)
Uploaded by gravatar.com icon for user joecohen
Foldercs231n-spring2017
Num files16 files
File list [Hide list]
Lecture 1 _ Introduction to Convolutional Neural Networks for Visual Recognition-vT1JzLTH4G4.mp4 152.68MB
Lecture 2 _ Image Classification-OoUX-nOEjG0.mp4 134.76MB
Lecture 3 _ Loss Functions and Optimization-h7iBpEHGVNc.mp4 169.43MB
Lecture 4 _ Introduction to Neural Networks-d14TUNcbn1k.mp4 146.75MB
Lecture 5 _ Convolutional Neural Networks-bNb2fEVKeEo.mp4 157.41MB
Lecture 6 _ Training Neural Networks I-wEoyxE0GP2M.mp4 177.50MB
Lecture 7 _ Training Neural Networks II-_JB0AO7QxSA.mp4 161.18MB
Lecture 8 _ Deep Learning Software-6SlgtELqOWc.mp4 175.66MB
Lecture 9 _ CNN Architectures-DAOcjicFr1Y.mp4 176.81MB
Lecture 10 _ Recurrent Neural Networks-6niqTuYFZLQ.mp4 156.96MB
Lecture 11 _ Detection and Segmentation-nDPWywWRIRo.mp4 171.19MB
Lecture 12 _ Visualizing and Understanding-6wcs6szJWMY.mp4 187.59MB
Lecture 13 _ Generative Models-5WoItGTWV54.mp4 169.06MB
Lecture 14 _ Deep Reinforcement Learning-lvoHnicueoE.mp4 134.41MB
Lecture 15 _ Efficient Methods and Hardware for Deep Learning-eZdOkDtYMoo.mp4 193.42MB
Lecture 16 _ Adversarial Examples and Adversarial Training-CIfsB_EYsVI.mp4 160.34MB
Mirrors18 complete, 0 downloading = 18 mirror(s) total [Log in to see full list]

No stats to report yet.

Send Feedback Start
   0.000006
DB Connect
   0.000514
Lookup hash in DB
   0.000439
Get torrent details
   0.000135
Get torrent details, finished
   0.000468
Get authors
   0.000025
Parse bibtex
   0.000115
Write header
   0.000249
get stars
   0.000123
target tab
   0.000005
Request peers
   0.000452
Write table
   0.000296
geoloc peers
   0.017153
render right panel
   0.000010
render ads
   0.000629
fetch current hosters
   0.000340
Start get stats
   0.000547
End get stats
   0.000001
related datasets
   0.001374
Done