000			01375nam a22002657a 4500
005			20241218112627.0
020			_a9783031296444
020			_a9783031296420
020			_a3031296443
082			_a006.32 _bAGG
100			_aAggarwal, Charu C.
245			_aNeural Networks and Deep Learning: A Textbook
250			_aSecond edition
260			_aCham : _bSpringer, _c2023
300			_axxiv, 529 p.
500			_aIncludes index
505			_aAn 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.
520			_aChapters 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.
650			_aArtificial Intelligence
650			_aData mining and knowledge discovery
650			_aKnowledge based systems
650			_aNatural language processing (NLP)
650			_aMachine learning
942			_cREF
999			_c45309 _d45309