Advancements in Image Classification using Convolutional Neural Network
This is an incremental review paper that summarizes existing CNN models for researchers or practitioners in computer vision.
The paper reviews advancements in Convolutional Neural Networks (CNNs) for image classification, discussing and comparing architectures from LeNet-5 to SENet, but does not present new experimental results or concrete performance numbers.
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.