000			02271nam\a2200349\a\4500
001			57695
005			20260208151306.0
008			260208caua b 001 0 eng d
020			_a9789352139026 _q(paperback)
040			_aYDX _beng _cYDX _erda _dBDX _dCDX _dOCLCF _dJRZ _dUKMGB _dOCLCQ _dBD-DhIUB
082	0	4	_a006.32 _223 _bW417d
100	1		_aWeidman, Seth, _eauthor.
245	1	0	_aDeep learning from scratch : _bbuilding with Python from first principles / _cSeth Weidman.
250			_aFirst edition.
260			_aIndia: _bShroff Publishers and Distributors Pvt.Ltd., _c2024
300			_axiv, 235 pages : _billustrations ; _c24 cm
504			_aIncludes bibliographical references and index.
505	0		_aFoundations -- Fundamentals -- Deep learning from scratch -- Extensions -- Convolutional neural networks -- Recurrent neural networks -- RyTorch.
520			_aWith the resurgence of neural networks in the 2010s, understanding deep learning has become essential for machine learning practitioners and even many software engineers. This practical book provides a thorough introduction for data scientists and software engineers with previous exposure to machine learning. 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 function 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. With a detailed understanding of how these networks work mathematically, computationally, and conceptually, you'll be set up for success on future deep learning projects.
526			_aCSE _bps _lREF
541			_aRisaam
650		0	_aMachine learning.
650		0	_aNeural networks (Computer science)
650		0	_aArtificial intelligence.
650		0	_aPython (Computer program language)
650		7	_aArtificial intelligence. _2fast
650		7	_aMachine learning. _2fast
650		7	_aNeural networks (Computer science) _2fast
650		7	_aPython (Computer program language) _2fast
942			_2ddc _cBK
999			_c57695 _d57869