Advancements in Image Classification using Convolutional Neural Network

05/08/2019
by   Farhana Sultana, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/05/2019

A Review of Object Detection Models based on Convolutional Neural Network

Convolutional Neural Network (CNN) has become the state-of-the-art for o...
research
04/03/2017

A Genetic Programming Approach to Designing Convolutional Neural Network Architectures

The convolutional neural network (CNN), which is one of the deep learnin...
research
11/11/2018

Fashion and Apparel Classification using Convolutional Neural Networks

We present an empirical study of applying deep Convolutional Neural Netw...
research
12/27/2016

An Automated CNN Recommendation System for Image Classification Tasks

Nowadays the CNN is widely used in practical applications for image clas...
research
04/01/2021

Neurological Status Classification Using Convolutional Neural Network

In this study we show that a Convolutional Neural Network (CNN) model is...
research
01/07/2020

Multimodal Semantic Transfer from Text to Image. Fine-Grained Image Classification by Distributional Semantics

In the last years, image classification processes like neural networks i...
research
03/02/2021

A Structurally Regularized Convolutional Neural Network for Image Classification using Wavelet-based SubBand Decomposition

We propose a convolutional neural network (CNN) architecture for image c...

Please sign up or login with your details

Forgot password? Click here to reset