Abstract: Deep Learning has emerged as a new area in machine learning and is applied to a number of signal and image applications. The main purpose of the work presented in this paper, is to apply the concept of a Deep Learning algorithm namely, Convolutional Neural Networks (CNN)  in image classification. In this paper we built a simple Convolutional neural network on image classification. This simple Convolutional neural network completed the image classification. Our experiments are based on benchmarking datasets minist and cifar-10. On the basis of the Convolutional neural network, we also analyzed different methods of learning rate set and different optimization algorithm of solving the optimal parameters of the influence on image classification. 

Keywords: Convolutional Neural Network; Deep Learning; Image Classification, Learning Rate

| DOI: 10.17148/IJIREEICE.2019.7306