Gradient-Based Learning Applied to Document Recognition
GPTKB entity
Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:author |
gptkb:Léon_Bottou
gptkb:Yann_LeCun gptkb:Yoshua_Bengio gptkb:Patrick_Haffner |
| gptkbp:citation |
over 20000
|
| gptkbp:contribution |
introduction of LeNet-5 architecture
|
| gptkbp:doi |
10.1109/5.726791
|
| gptkbp:focusesOn |
handwritten digit recognition
|
| gptkbp:influenced |
deep learning research
|
| gptkbp:language |
English
|
| gptkbp:numberOfIssues |
11
|
| gptkbp:pages |
2324
2278 |
| gptkbp:proposedBy |
gradient-based learning methods
|
| gptkbp:publicationYear |
1998
|
| gptkbp:publishedIn |
gptkb:Proceedings_of_the_IEEE
|
| gptkbp:topic |
convolutional neural networks
document recognition |
| gptkbp:volume |
86
|
| gptkbp:bfsParent |
gptkb:LeNet-5
|
| gptkbp:bfsLayer |
6
|
| https://www.w3.org/2000/01/rdf-schema#label |
Gradient-Based Learning Applied to Document Recognition
|