deformable convolutional networks | lecture 35 (part 8) | applied deep learning (supplementary)
Published 2 years ago • 4.7K plays • Length 9:01Download video MP4
Download video MP3
Similar videos
-
5:33
convolutional object detectors | lecture 36 (part 8) | applied deep learning (supplementary)
-
11:47
deformable convolutional networks
-
![[saif 2020] day 1: energy-based models for self-supervised learning - yann lecun | samsung](https://i.ytimg.com/vi/BqgnnrojVBI/mqdefault.jpg)
27:51
[saif 2020] day 1: energy-based models for self-supervised learning - yann lecun | samsung
-
5:59
convolutional networks, but explained for humans
-
6:09
groups, depthwise, and depthwise-separable convolution (neural networks)
-
13:47
crfs as rnns (continued) | lecture 27 (part 1) | applied deep learning (supplementary)
-
3:12
r-fcn (q&a) | lecture 35 (part 6) | applied deep learning (supplementary)
-
8:17
deformable detr | lecture 38 (part 3) | applied deep learning (supplementary)
-
15:28
one shot learning | lecture 72 (part 1) | applied deep learning (supplementary)
-
6:38
practitioners' guide | lecture 45 (part 3) | applied deep learning (supplementary)
-
3:37
the all convolutional net | lecture 20 (part 3) | applied deep learning (supplementary)
-
2:54
fast r-cnn (q&a) | lecture 35 (part 4) | applied deep learning (supplementary)
-
11:00
visual recognition & description (q&a) | lecture 59 (part 1) | applied deep learning (supplementary)
-
12:31
multi-column dnns | lecture 3 (part 2) | applied deep learning (supplementary)
-
15:08
detr (detection transformer) | lecture 38 (part 2) | applied deep learning (supplementary)
-
5:23
fasttext (q&a) | lecture 47 (part 1) | applied deep learning (supplementary)