Developing the regression network generated from the classification network with deep learning
Asma Abdulelah Abdulrahman, Fouad Shaker Tahir · Pidvodni tehnologii · 2024
The field of image processing is very important in deep learning. One of the important applications in deep learning is the classification process after storing images in a data set, which requires training a deep neural network and a convolutional neural network (CNN) in MATLAB, because of the large amount of data carried by the color image, which leads to the need for deep learning technology, which leads to Discovering the number technology to create a matrix that includes the numbers from 0 to 9 in the 10 * 10 matrix, which leads to expanding the image store of the data set. In this work, a fast algorithm was created to create a large number matrix to store images, and the results that were achieved proved the efficiency of the algorithm.