TY  - BOOK
AU  - Aggarwal, Charu C. 
TI  - Neural Networks and Deep Learning: A Textbook
SN  - 9783031296444
U1  - 006.32 
PY  - 2023///
CY  - Cham
PB  - Springer
KW  - Artificial Intelligence
KW  - Data mining and knowledge discovery
KW  - Knowledge based systems
KW  - Natural language processing (NLP)
KW  - Machine learning
N1  - Includes index; An Introduction to Neural Networks.- The Backpropagation Algorithm.- Machine Learning with Shallow Neural Networks.- Deep Learning: Principles and Training Algorithms.- Teaching a Deep Neural Network to Generalize.- Radial Basis Function Networks.- Restricted Boltzmann Machines.- Recurrent Neural Networks.- Convolutional Neural Networks.- Graph Neural Networks.- Deep Reinforcement Learning.- Advanced Topics in Deep Learning
N2  - Chapters 6 and 7 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 8, 9, and 10 discuss recurrent neural networks, convolutional neural networks, and graph neural networks
ER  -