Image Classification

Table of Contents

1. About The Project
2. Phases
   • Simple Neural Network for MNIST dataset
   • Convolutional Network for cifar10 dataset
   • ResNet for cifar10 dataset
3. Contact

About The Project

This project implements three types of networks with PyTorch and uses the cifar10 and MNIST Dataset for training and testing model.

Phases

Simple Neural Network

In this phase network is designed for MNIST dataset. Finall accuracy is 0.9682.
All further information about architecture of models and results are saved in the notebook.

Convolutional Neural Network

In this phase network is designed for cifar10 dataset. Finall accuracy is 0.7462.
All further information about architecture of models and results are saved in the notebook.

it does not work well :(

ResNet

In this phase network is designed for cifar10 dataset. Finall accuracy is 0.9090.
All further information about architecture of models and results are saved in the notebook.

Contact

Amirreza Naziri
Email: naziriamirreza@gmail.com

(back to top)