Название: Classification Applications with Deep Learning and Machine Learning Technologies
Автор: Laith Abualigah
Издательство: Springer
Год: 2023
Страниц: 287
Язык: английский
Формат: pdf (true)
Размер: 13.6 MB

This book is very beneficial for early researchers/faculty who want to work in Deep Learning and Machine Learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies’ image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.

Nowadays, with the considerable growth in Deep Learning and Machine Learning classification approaches ranging from many real-world problems such as Artocarpus Classification, Rambutan Classification, Mango Varieties Classification, Salak Classification, Image Processing, Identification for Sapodilla Transfer Learning Techniques, Classification of Jackfruit Artocarpus integer and Artocarpus heterophyllus, Markisa/Passion Fruit Classification, Big Data Classification, etc. Deep Learning and Machine Learning have become indispensable technologies in the current time, and this is the era of artificial intelligence. These techniques find their marks in data analysis, text mining, classification problems, computer vision, image analysis, pattern recognition, medicine, etc. There is a continuous flow of data, so it is impossible to manage and analyze these data manually. The outcome depends on the processing of high-dimensional data. Most of it is irregular and unordered, present in various forms like text, images, videos, audio, graphics, etc.