000			01286nam a2200193Ia 4500
008			240825s9999 xx 000 0 und d
020			_a9781484256824 _qpbk
041			_aeng
082			_a006.3 _bBEY
100			_aBeysolow II, Taweh
245		0	_aIntroduction to deep learning using R _c/Taweh Beysolow Ii _ba step-by-step guide to learning and implementing deep learning models using R
260			_bApress _cc2017 _aNew York :
300			_axix, 227 p. : _bill. _c23 cm
500			_aReprint 2023
504			_aindex
520			_aUnderstand deep learning, the nuances of its different models, and where these models can be applied. The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the fundamentals of data science through machine learning and deep learning. This step-by-step guide will help you understand the disciplines so that you can apply the methodology in a variety of contexts.
650			_a Apprentissage automatique; Artificial intelligence; BUSINESS & ECONOMICS Management
942			_cENGLISH
999			_c544894 _d544894