LeNet

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..

code

Papers

Paper	Code	Results	Date	Stars

Tasks

Task	Papers	Share
Image Classification	8	15.38%
Quantization	5	9.62%
Adversarial Robustness	3	5.77%
General Classification	3	5.77%
Network Pruning	2	3.85%
Clustering	2	3.85%
Traffic Sign Recognition	2	3.85%
Classification	2	3.85%
BIG-bench Machine Learning	2	3.85%

Usage Over Time

This feature is experimental; we are continuously improving our matching algorithm.

Components

Component	Type	Add Remove
Convolution	Convolutions
Dense Connections	Feedforward Networks

Categories

Add Remove

Convolutional Neural Networks