000			02196 a2200241 4500
999			_c53208 _d53208
008			200731b ||||| |||| 00| 0 eng d
020			_a9783030068561
082			_a006.32 _bAGG
100			_aAggarwal, Charu C.
245			_aNeural networks and deep learning
260			_bSpringer, _c2018. _aCham, Switzerland:
300			_axxiii, 497 p. _bpb; _c25 cm.
365			_aEuro _b64.99
520			_aThis 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, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. Several advanced topics like deep reinforcement learning, neural Turing machines, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 9 and 10. The book is written for graduate students, researchers, and practitioners. Numerous exercises are available along with a solution manual to aid in classroom teaching. Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.
650			_aInformation Systems
650			_aMicroprocessors
650			_aComputer Networking & Communications
650			_aComputer Architecture & Logic Design
650			_aData Mining & Knowledge Discovery
650			_aNeural Networks
650			_aMachine Learning
942			_2ddc _cTD