PyTorch implementation of LeNet-5 with live visualization

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 implementation(LeNet, VGGNet, GAN, UNet, Mask R-CNN, ...)

Numpy implementation of deep learning

基于Pytorch复现的Yann LeCun大佬于1998年提出的LeNet5模型。

Convolutional Neural Network implemenation from scratch in python numpy

A simple and extensible image recognition neural network framework

CNN architectures in C++

lenet5的tensorflow实现

Simple LeNet5 for MNIST dataset with PyTorch and achieves 99.13% accuracy on the test data.

LeNet5 on MNIST with SGD and Adam

Python jupyter notebook project on learning and detecting traffic signs

Implementation and comparison of SVM and LeNet5 on MNIST

This repository contains implementation of some deep neural networks by Keras.

Convolutional Neural Net to Classify Traffic Signs

Basic baseline training script of MNIST

Implementing the Naive Bayes to perform classification over MNIST and CIFAR-10 datasets. Results are compared with Bayesian Linear regression and LeNet5 architecture

南开大学 机器学习（谢晋老师） EX2（大作业）2023年秋 LeNet5实现