🌸 Deep Learning models implemented in PyTorch Lightning

Contains Deep Learning Content and Algorithm. ANN_CNN_RNN(LSTM-GRU)_AUTOENCODER

This code includes classification and detection tasks in Computer Vision, and semantic segmentation task will be added later.

Breaking Wikipedia's captcha using image processing and deep learning techniques

Implementing / documenting CS papers for its own sake

Training neural nets with quantized weights on arbitrarily specified bit-depth

Implementation of LeNet-5 on MNIST Dataset in PyTorch

本仓库包含了完整的深度学习应用开发流程，以经典的手写字符识别为例，基于LeNet网络构建。推理部分使用torch、onnxruntime以及openvino框架💖

This repo consists of different Deep Learning Models used for various ML tasks.

Covid-19 detection using chest Xray images with LeNet-5 architecture

Naruto Characters 😼 Ocular Power 👓 Classification ❤️ using deep learning 💫 machine learning

Backend para el modelo lenet de clasificación de imágenes.

Алгоритмы Data Science и их практическая реализация на Python

This project uses CNNs to identify Diabetic Retinopathy in fundus images from the STARE database. Trained on a public dataset, the CNN models excel in capturing lesion characteristics, resembling human decision-making.

This repository provides topics in PyTorch which is used for Deep Learning

Using lenet for Traffic Sign Recognition

This repository includes a deep learning model based on LeNet for detecting smiles and utilizes the DeepFace framework to recognize the emotion of happiness.

Vgg16Net/LetNet/AlexNet-MNIST 手写数字识别

The project aims to develop a reliable method for detecting COVID-19 in patients by analyzing chest X-rays. Developing Deep Learning systems for detecting COVID-19 in patients using three CNN architectures on a Chest Radiography dataset and applying GRADCAM to detect COVID-19-affected areas in the lungs.

A traffic sign classifier using LeNet for Self driving cars