Image Classification of Cats and Dogs

Abstract

 Image classification is a drawback within the process of image and within the computer vision conjointly. During this analysis paper we'll classify the image of cats and dogs using CNN using R studio. Images from data set has been resized and reshaped. Then by using CNN we'll classify the image individually. As application of CNN approach is used here for understanding the image. First we have trained the model and then tested it. From testing the model by importing a new image , the accuracy percentage can be obtained. CNN is used to analyze visual imagery, based on their weight and architecture. Mathematic operation convolution is implemented, convolution is used in place of general matrix  multiplication in one layer of CNN.