000			01342nam a22001937a 4500
005			20241223150547.0
008			241223b |||||||| |||| 00| 0 eng d
020			_a9783031296413
040			_cNational Institute of Technology Goa
082			_a006.32 _bAGG/NEU
100			_aAggarwal, Charu C
245			_aNeural networks and deep learning: a textbook
250			_a2nd
260			_aSwitzerland: _b Springer, _c 2018
300			_axxiii, 500p.: 6x11x2; Hardcover
520			_aThis 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.
650			_2Computer Science Engineering _aComputer Science Engineering; Neural networks; Vector machines; Matrix factorization; Restricted Boltzmann Machines (RBM); Kohonen self-organizing maps
942			_2ddc _cBK _n0
999			_c5203 _d5203