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  -