XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks thumbnail
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

Published on Oct 24, 20169139 Views

We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In Binary-Weight-Networks, the filters are approximated with binary values

Related categories

Chapter list

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks00:00
Example/100:10
Example/200:19
Example/300:26
Example/400:32
State of the art recognition methods/100:34
State of the art recognition methods/200:40
Example/100:54
Example/200:56
Convolutional Neural Networks/101:06
Convolutional Neural Networks/201:15
Lower Precision01:42
Why Binary?02:28
Example/102:44
Example/203:27
Example/303:37
Example/403:40
Example/503:42
Example/603:46
Quantization Error04:14
Optimal Scaling Factor04:24
How to train a CNN with binary filters?04:50
Training Binary Weight Networks/104:56
Training Binary Weight Networks/205:04
Training Binary Weight Networks/305:29
Training Binary Weight Networks/405:30
Training Binary Weight Networks/505:32
Binary Weight Network/105:40
Binary Weight Network/205:44
Binary Weight Network/305:48
Binary Weight Network/405:51
Binary Weight Network/505:54
Binary Weight Network/605:57
Binary Weight Network/706:00
Binary Weight Network/806:05
Binary Weight Network/906:13
Binary Weight Network/1006:18
Binary Weight Network/1106:21
Binary Weight Network/1206:33
Binary Weight Network/1306:35
Binary Weight Network/1406:36
Binary Input and Binary Weight (XNOR-Net)/106:38
Binary Input and Binary Weight (XNOR-Net)/206:47
Binary Input and Binary Weight (XNOR-Net)/306:56
Binary Input and Binary Weight (XNOR-Net)/407:11
Binary Input and Binary Weight (XNOR-Net)/507:20
Binary Input and Binary Weight (XNOR-Net)/607:24
Network Structure in XNOR-Networks/107:31
Network Structure in XNOR-Networks/207:43
Network Structure in XNOR-Networks/307:46
Network Structure in XNOR-Networks/407:52
Network Structure in XNOR-Networks/508:03
Network Structure in XNOR-Networks/608:10
Network Structure in XNOR-Networks/708:15
Network Structure in XNOR-Networks/808:18
Network Structure in XNOR-Networks/908:21
Network Structure in XNOR-Networks/1008:27
Network Structure in XNOR-Networks/1108:31
Network Structure in XNOR-Networks/1208:42
Network Structure in XNOR-Networks/1308:44
Network Structure in XNOR-Networks/1408:47
Network Structure in XNOR-Networks/1508:51
Network Structure in XNOR-Networks/1608:54
Network Structure in XNOR-Networks/1708:58
Network Structure in XNOR-Networks/1809:04
Network Structure in XNOR-Networks/1909:06
Network Structure in XNOR-Networks/2009:18
Network Structure in XNOR-Networks/2109:27
Network Structure in XNOR-Networks/2209:35
Network Structure in XNOR-Networks/2309:48
Network Structure in XNOR-Networks/2409:54
Object Detection10:00
YOLO: Fastest Object Detector10:08
Example/110:16
Example/210:20
Example/310:24
Example/410:32
Example/510:35
Example/610:47
Example/712:17
Thank You!12:35