TY - BOOK AU - Aggarwal,Charu C. AU - TI - Neural networks and deep learning: a textbook SN - 9783319944630 U1 - 006.32 23 PY - 2018/// CY - Cham, Switzerland PB - Springer, KW - Computer science KW - Neural networks (Computer science) KW - Machine learning KW - Computers KW - Computer networking & communications KW - Computer architecture & logic design KW - Artificial intelligence KW - Information systems KW - Online Services KW - General KW - bisacsh KW - Systems Architecture KW - bicssc KW - Intelligence (AI) & Semantics KW - Electronic books N1 - Academic; Includes bibliographical references and index; 1 An Introduction to Neural Networks; 2 Machine Learning with Shallow Neural Networks; 3 Training Deep Neural Networks; 4 Teaching Deep Learners to Generalize; 5 Radical Basis Function Networks; 6 Restricted Boltzmann Machines; 7 Recurrent Neural Networks; 8 Convolutional Neural Networks; 9 Deep Reinforcement Learning; 10 Advanced Topics in Deep Learning; Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK) N2 - This book covers both classical and modern models in deep learning. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, Read more ER -