Digital Image Processing and Sequential Convolution Neural Network for an Identification of Elephant

Abstract

As we know, digital image processing and Deep Neural networks are used to identify people, birds, and Species. DNN has a technique known as Convolution Neural Network CNN, which is used to recognize and classify particular features from images and is also used for analyzing the visual image. The mathematical function denoted by “convolution” is a linear operation in which two functions are multiplied to produce a third function. This third function in the form of matrices is used to extract features from the image. In the CNN model activation function is an important parameter. It is used to learn any kind of continuous and complex relationship between variables of the network