"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
Image classification is a subdomain of computer vision and can be solved by different machine learning and deep learning algorithms. Image Classification is the task of assigning an input image one label from a fixed set of categories. In computer vision, Convolutional Neural Networks (CNN or ConvNet) are the default and most popular deep learning model used for image classification. This book investigates the impact of various Hyper-Parameter Optimization (HPO) methods and regularization techniques with deep neural networks on Fashion-MNIST (F-MNIST) dataset which is proposed by Zalando Research.
Greeshma K V
Greeshma K V is currently working as Assistant Professor, M.Sc. Forensic Science Programme (Department of Life Sciences, University of Calicut), Kerala Police Academy, Thrissur, Kerala, India. She is a research scholar in Image Processing at Bharathiar University, Coimbatore. She received her Master of Philosophy in Computer Science from Amrita Vishwa Vidyapeetham University, Coimbatore. She completed her bachelor’s degree in computer applications from Mahatma Gandhi University, Kerala and the Master’s degree in computer applications from IGNOU. Her current research interest includes deep learning, computer vision and image processing.
