Summary & Implementation of Deep Learning research paper in Tensorflow/Pytorch.

A pytorch implementation of the ZFNet Architecture described in the paper "Visualizing and Understanding Convolutional Networks" by Matthew D Zeiler, Rob Fergus

Reimplementations of various computer vision papers in pytorch

Raw Surface-EMG signal classification using DL models

Implementing and training/testing popular model architectures on the CIFAR10 dataset.

经典计算机视觉论文复现

ZFNet implemented in CUDA C

This project is a system created to use feature extraction methods and pre-trained models to find similarities between photos retrieved from different sources.

ZFNet-for-CIFAR-10-Classification

Face recognition using Tensorflow

This project demonstrates image classification using ResNet and ZFNet architectures. It includes training scripts, model definitions, and examples to classify images into predefined categories.