# Advancements in Image Classification using Convolutional Neural Network

## TL;DR

This paper reviews the evolution of CNN architectures for image classification, highlighting advancements from LeNet-5 to SENet, and compares their models and training details.

## Contribution

It provides a comprehensive overview of CNN architecture developments and performance comparisons for image classification tasks.

## Key findings

- SENet outperforms earlier CNN models in accuracy.
- Advancements in CNN architectures improve image classification performance.
- Detailed comparison of CNN models from LeNet-5 to SENet.

## Abstract

Convolutional Neural Network (CNN) is the state-of-the-art for image classification task. Here we have briefly discussed different components of CNN. In this paper, We have explained different CNN architectures for image classification. Through this paper, we have shown advancements in CNN from LeNet-5 to latest SENet model. We have discussed the model description and training details of each model. We have also drawn a comparison among those models.