This project is a system created to use feature extraction methods and pre-trained models to find similarities between photos retrieved from different sources.
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Updated
Jul 10, 2023 - Jupyter Notebook
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
This project demonstrates image classification using ResNet and ZFNet architectures. It includes training scripts, model definitions, and examples to classify images into predefined categories.
Face recognition using Tensorflow
Raw Surface-EMG signal classification using DL models
A pytorch implementation of the ZFNet Architecture described in the paper "Visualizing and Understanding Convolutional Networks" by Matthew D Zeiler, Rob Fergus
Implementing and training/testing popular model architectures on the CIFAR10 dataset.
Summary & Implementation of Deep Learning research paper in Tensorflow/Pytorch.
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