LeNet is a efficient convolutional neural network for handwritten character recognition, which was proposed by Yann LeCun in 1998.
| Model | Download | accuracy (%) |
|---|---|---|
| LeNet | model weight | 94 |
- LeNet Model is from the paper Gradient-Based Learning Applied to Document Recognition
- The pretrained model is from the repository
- BVLC/caffe
BSD 2-Clause