000			01756nam a22002417a 4500
003			OSt
005			20260630151210.0
008			260630b |||||||| |||| 00| 0 eng d
020			_a9789811280627
041			_aeng
082			_a006.31 DUB-L
100			_aDubnov, Shlomo, _986186
245			_aLecture notes in deep learning : theoretical insights into an artificial mind
260			_aNew Jersey; _bWorld Scientific Publishing Co. Pte. Ltd., _c2026.
300			_axv, 301p.
520			_aThe compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, neural tangent and information theory.This unique reference text complements a largely missing theoretical introduction to neural networks without being overwhelmingly technical in a level accessible to upper-level undergraduate engineering students.Advanced chapters were designed to offer an additional intuition into the field by explaining deep learning from statistical and information theory perspectives. The book further provides additional intuition to the field by relating it to other statistical and information modeling approaches.
520			_aIntroduces the theoretical foundations of deep learning and artificial intelligence. The book explains neural networks, machine learning models, mathematical principles, optimization, representation learning, and the development of artificial intelligence systems with emphasis on conceptual understanding and practical implementation.
650			_aMachine learning. _986187
650			_aArtificial intelligence. _986188
700			_aZou, Dongmian, _986189
942			_cBK
999			_c200751 _d200751