TY  - BOOK
AU  - Aggarwal, Charu C
TI  - Neural networks and deep learning: a textbook
SN  - 9783031296413
U1  - 006.32 
PY  - 2018///
CY  - Switzerland: 
PB  -  Springer, 
KW  - Computer Science Engineering
KW  - Computer Science Engineering; Neural networks; Vector machines; Matrix factorization; Restricted Boltzmann Machines (RBM); Kohonen self-organizing maps
N2  - This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications.
The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Deep learning methods for various data domains, such as text, images, and graphs are presented in detail
ER  -