PyTorch implementation of LeNet-5 with live visualization
lenet5 开源项目推荐(28 个)
lenet5 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 28 个仓库Deep Learning code
Summary & Implementation of Deep Learning research paper in Tensorflow/Pytorch.
Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO
Pytorch 实现(LeNet、VGGNet、GAN、UNet、Mask R-CNN 等)
基于Pytorch复现的Yann LeCun大佬于1998年提出的LeNet5模型。
Numpy implementation of deep learning
Convolutional Neural Network implemenation from scratch in python numpy
A simple and extensible image recognition neural network framework
5-stage RISC-V RV32I processor + INT8 CNN hardware accelerator SoC for edge AI - synthesized on Xilinx Artix-7 at 100 MHz RTL in Verilog 2001
CNN architectures in C++
lenet5的tensorflow实现
Part 1 of Visual Scrambling — LeNet-5 architecture reconstruction Pytorch with convolution geometry, RBF function, pooling and broadcasting explanation
Simple LeNet5 for MNIST dataset with PyTorch and achieves 99.13% accuracy on the test data.
LeNet5 on MNIST with SGD and Adam
Training and testing various CNN models for image classification.
Implementation and comparison of SVM and LeNet5 on MNIST
Convolutional Neural Net to Classify Traffic Signs
Implementing the Naive Bayes to perform classification over MNIST and CIFAR-10 datasets. Results are compared with Bayesian Linear regression and LeNet5 architecture
MLP, LeNet-5 CNN and GRU Seq2Seq built in PyTorch, with convolution and pooling implemented by hand and verified against the library. Includes the full scientific report and all result figures.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/lenet5。
- 该话题在 GitHub 上共有 28 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 497 Star,覆盖 4 种主要语言,数据更新于 2026-11-13。
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