000			02145nam\a2200337\a\4500
001			57699
005			20260209153933.0
008			260208t20192019caua b 001 0 eng d
020			_a9781492045359
020			_a9789352139095
040			_aYDX _beng _cYDX _erda _dBD-DhIUB
082	0	4	_a006.32 _223 _bP751
100	1		_aPointer, Ian, _eauthor.
245	1	0	_aProgramming PyTorch for deep learning : _bcreating and deploying deep learning applications / _cIan Pointer.
250			_aFirst edition.
260			_aIndia: _bShroff Publishers and Distributors Pvt.Ltd., _c2019
300			_axv, 200 pages : _billustrations ; _c24 cm
504			_aIncludes bibliographical references and index.
505	0		_aGetting started with PyTorch -- Image classification with PyTorch -- Convolutional neural networks -- Transfer learning and other tricks -- Text classification -- A journey into sound -- Debugging PyTorch models -- PyTorch in production -- PyTorch in the wild.
520			_a"Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very own neural networks. Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then walks you through the creation of neural architectures that facilitate operations on images, sound, text, and more through deep dives into each element. He also covers the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production."--
526			_aCSE _bps _lREF
541			_aRisaam
650		0	_aNeural networks (Computer science)
650		0	_aMachine learning.
650		0	_aPython (Computer program language)
650		7	_aMachine learning. _2fast
650		7	_aNeural networks (Computer science) _2fast
650		7	_aPython (Computer program language) _2fast
942			_2ddc _cBK
999			_c57699 _d57873