Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
GPTKB entity
Statements (22)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:arXivID |
1602.07261
|
| gptkbp:author |
gptkb:Vincent_Vanhoucke
gptkb:Christian_Szegedy gptkb:Alex_Alemi gptkb:Sergey_Ioffe |
| gptkbp:comparesWith |
ResNet architectures
previous Inception architectures |
| gptkbp:field |
computer vision
deep learning |
| gptkbp:focusesOn |
image classification
|
| gptkbp:foundIn |
residual connections improve convergence
residual connections speed up training |
| https://www.w3.org/2000/01/rdf-schema#label |
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
|
| gptkbp:proposedBy |
Inception-ResNet architecture
Inception-v4 architecture |
| gptkbp:publicationYear |
2016
|
| gptkbp:publishedIn |
gptkb:arXiv
|
| gptkbp:studies |
residual connections
|
| gptkbp:trainer |
gptkb:ImageNet
|
| gptkbp:bfsParent |
gptkb:Inception_v4
|
| gptkbp:bfsLayer |
7
|