Summary & Implementation of Deep Learning research paper in Tensorflow/Pytorch.
Implementing and training/testing popular model architectures on the CIFAR10 dataset.
A pytorch implementation of the ZFNet Architecture described in the paper "Visualizing and Understanding Convolutional Networks" by Matthew D Zeiler, Rob Fergus
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.
Add a description, image, and links to the zfnet topic page so that developers can more easily learn about it.
To associate your repository with the zfnet topic, visit your repo's landing page and select "manage topics."