000			01275nam a2200205Ia 4500
008			240825s9999 xx 000 0 und d
020			_a9789352139026 _qpbk
041			_aeng
082			_a006.3 _bWEI
100			_aWeidman
245		0	_aDeep Learning From Scratch : Building With Python From First Principles _c/ Weidman
260			_c2021 _aMumbai _bShroff Publishers
300			_axiv, 235p. _bill; _c23 cm.
504			_aindex
520			_aWith the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You'll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way.Author Seth Weidman shows you how neural networks work using a first principles approach. You'll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up.
650			_a Python (Computer program language)
650			_aArtificial intelligence
650			_aNeural networks (Computer science)
942			_cENGLISH
999			_c543119 _d543119