Image-Classification-With-Resnet

Introduction

This repository contains an implementation of a Resnet-32 model as described in the paper "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385) to solve Intel's Image Scene Classification.

Disclaimer

I have provided a trained model with 90% out-of-sample accuracy here. However, feel free to train the model from scratch.
The dependencies needed to run this notebook are Pytorch, Numpy, Tensorboard and Opencv.
This is the Dataset.