LeNet is a classic convolutional neural network employing the use of convolutions, pooling and fully connected layers. It was used for the handwritten digit recognition task with the MNIST dataset. The architectural design served as inspiration for future networks such as AlexNet and VGG..
|Traffic Sign Recognition||2||4.17%|
|BIG-bench Machine Learning||2||4.17%|