Название: Deep Learning for Data Analytics: Foundations, Biomedical Applications, and Challenges
Автор: Himansu Das (Editor), Chittaranjan Pradhan (Editor), Nilanjan Dey (Editor)
Издательство: Elsevier Inc.
Год: 2020
Формат: True PDF
Страниц: 211
Размер: 12.9 Mb
Язык: English
Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics techniques in large scale environments. Deep learning algorithms are based on artificial neural network models to cascade multiple layers of nonlinear processing, which aids in feature extraction and learning in supervised and unsupervised ways, including classification and pattern analysis.