zfnet

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

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

经典计算机视觉论文复现

Raw Surface-EMG signal classification using DL models

ZFNet implemented in CUDA C

Comparison of CNN architectures for INTERCO flags classification.

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

Deep learning model implementation and research projects including AlexNet, InceptionV3, VGG16, ZFNet, Bangla digit recognition, flower classification, rice classification, and exercise detection using TensorFlow and Keras.

The repository contains codes for the course "Deep Learning" given by Professors Galasso and Marini for the "Applied Computer Science" course at Sapienza Università di Roma.

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.