LeNet
E17289
LeNet is one of the earliest convolutional neural network architectures, pioneering modern deep learning approaches to image recognition and handwritten digit classification.
Observed surface forms (1)
| Surface form | Occurrences |
|---|---|
| LeNet-5 convolutional neural network (with Yann LeCun and others) | 1 |
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
convolutional neural network architecture
ⓘ
deep learning model ⓘ image recognition model ⓘ |
| activationFunction |
sigmoid function
ⓘ
tanh function ⓘ |
| basedOn |
artificial neural networks
ⓘ
backpropagation ⓘ convolution operation ⓘ gradient descent ⓘ |
| developedAt |
Bell Telephone Laboratories
ⓘ
surface form:
AT&T Bell Labs
|
| developer |
Léon Bottou
ⓘ
Patrick Haffner ⓘ Yann LeCun ⓘ Yoshua Bengio ⓘ |
| field |
computer vision
ⓘ
deep learning ⓘ machine learning ⓘ pattern recognition ⓘ |
| hasComponent |
convolutional layer
ⓘ
fully connected layer ⓘ output layer ⓘ pooling layer ⓘ subsampling layer ⓘ |
| historicalSignificance |
one of the earliest successful CNNs
ⓘ
pioneered modern deep learning for vision ⓘ |
| influenced |
AlexNet
ⓘ
ResNet ⓘ VGG ⓘ modern CNN architectures ⓘ |
| inputDomain | 28x28 pixel images ⓘ |
| inputType | grayscale images ⓘ |
| learningParadigm | end-to-end learning ⓘ |
| lossFunction | cross-entropy loss ⓘ |
| notableDataset | MNIST ⓘ |
| notablePublication | Gradient-based learning applied to document recognition ⓘ |
| optimizationObjective | classification accuracy ⓘ |
| primaryTask |
bank check digit recognition
ⓘ
zip code recognition ⓘ |
| publicationYear | 1998 ⓘ |
| regularization | weight decay ⓘ |
| trainingMethod |
stochastic gradient descent
ⓘ
supervised learning ⓘ |
| usedFor |
handwritten digit recognition
ⓘ
image classification ⓘ optical character recognition ⓘ |
| yearProposed | 1989 ⓘ |
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
LeNet-5 convolutional neural network (with Yann LeCun and others)