Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:activatedBy |
sigmoid
tanh |
| gptkbp:author |
Yann LeCun, Léon Bottou, Yoshua Bengio, Patrick Haffner
|
| gptkbp:citation |
1998
over 10,000 |
| gptkbp:developedBy |
gptkb:Léon_Bottou
gptkb:Yann_LeCun gptkb:Yoshua_Bengio gptkb:Patrick_Haffner |
| gptkbp:digestSize |
10
32x32 |
| gptkbp:hasType |
Convolutional Layer
Fully Connected Layer Subsampling Layer |
| https://www.w3.org/2000/01/rdf-schema#label |
LeNet-5
|
| gptkbp:influenced |
Modern Deep Learning Architectures
|
| gptkbp:introducedIn |
1998
|
| gptkbp:level |
7
|
| gptkbp:notableFor |
Early Success in Computer Vision
|
| gptkbp:notablePublication |
gptkb:Gradient-Based_Learning_Applied_to_Document_Recognition
http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf |
| gptkbp:platform |
Feedforward Neural Network
|
| gptkbp:publishedIn |
gptkb:Proceedings_of_the_IEEE
|
| gptkbp:usedFor |
Handwritten Digit Recognition
|
| gptkbp:usedOn |
gptkb:MNIST_Dataset
|
| gptkbp:bfsParent |
gptkb:Yann_LeCun
|
| gptkbp:bfsLayer |
4
|