000			02143nmm a22003375i 4500
001			21994071
003			OSt
005			20251209153931.0
008			210414s2021 mau 000 0 eng
010			_a 2021937264
020			_a9780137470358 _q(paperback)
020			_z9780137470297 _q(epub)
020			_z9780137470259 _q(adobe pdf)
035			_a21994071
040			_aDLC _beng _erda _cDLC
042			_apcc
100	1		_aEkman, Magnus, _eauthor.
245	1	0	_aLearning deep learning : _btheory and practice of neural networks, computer vision, nlp, and transformers using tensorflow [EBOOK]
250			_aFirst edition.
263			_a2108
264		1	_aBoston : _bAddison-Wesley, _c2021.
300			_apages cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
520			_a"Deep learning is at the heart of many of today's most exciting advances in machine learning and artificial intelligence. Pioneering applications at companies like Tesla, Google, and Facebook are now being followed by massive investments in fields ranging from finance to healthcare. Now, there's a complete guide to deep learning with TensorFlow, the #1 Python library for building these breakthrough applications. Magnus Ekman illuminates both the underlying concepts and the hands-on programming techniques you'll need, even if you have no machine learning experience. Throughout, you'll find concise, well-annotated code examples using TensorFlow and the Keras API; for comparison and easy migration between frameworks, complementary examples in PyTorch are provided online. Ekman also explains enough of the mathematics to help newcomers grasp how deep learning actually works. The guide concludes by previewing emerging trends in deep learning, and exploring the challenging ethical issues surrounding its use"-- _cProvided by publisher.
856			_yClick here to online access _uhttp://ebooks.amritanet.edu:4991/EBOOKS/EBD64_Learningdeeplearning_MagnusEkman.pdf
906			_a0 _bibc _corignew _d2 _eepcn _f20 _gy-gencatlg
942			_2udc _cEBK _n0
999			_c453058 _d453058