000			01765 a2200265 4500
008			240424b |||||||| |||| 00| 0 eng d
020			_a9781009389433
082			_a006.31 ZHA
100			_aZhang, Aston
245			_aDive into deep learning
260			_aNew York: _bCambridge University Press, _c2024
300			_axxxi,548p.: _bcol. ill.; pbk.: _c25cm
504			_aInclude reference & index
520			_aDeep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for fitting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work. No previous background in machine learning or deep learning is required―every concept is explained from scratch and the appendix provides a refresher on the mathematics needed. Runnable code is featured throughout, allowing you to develop your own intuition by putting key ideas into practice. https://www.amazon.in/Dive-into-Learning-Aston-Zhang/dp/1009389432
650			_aDeep Learning
650			_aMathematics
650			_aEngineers
650			_aMachine Learning
650			_aComputter Engineering
650			_aModels to Data
700			_aLipton, Zachary C. _eCo-author
700			_aLi, Mu _eCo-author
700			_aSmola, Alexander J. _eCo-author
942			_cTD _2ddc
999			_c60318 _d60318