Neural Networks and Deep Learning: A Textbook
Aggarwal, Charu C.
Neural Networks and Deep Learning: A Textbook - Second edition - Cham : Springer, 2023 - xxiv, 529 p.
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.
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.
9783031296444 9783031296420 3031296443
Artificial Intelligence
Data mining and knowledge discovery
Knowledge based systems
Natural language processing (NLP)
Machine learning
006.32 / AGG
Neural Networks and Deep Learning: A Textbook - Second edition - Cham : Springer, 2023 - xxiv, 529 p.
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.
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.
9783031296444 9783031296420 3031296443
Artificial Intelligence
Data mining and knowledge discovery
Knowledge based systems
Natural language processing (NLP)
Machine learning
006.32 / AGG