000 02191nam a22003615i 4500
001 21994071
003 NUST
005 20240829120604.0
008 210414s2021 mau 000 0 eng
010 _a 2021937264
020 _a9780137470358
_q(paperback)
020 _z9780137470297
_q(epub)
020 _z9780137470259
_q(adobe pdf)
038 _aAZHAR
040 _aDLC
_beng
_erda
_cDLC
042 _apcc
082 _a006.31
_bEKM
100 1 _aEkman, Magnus,
_eauthor.
_9123589
245 1 0 _aLearning deep learning :
_btheory and practice of neural networks, computer vision, natural language processing, and transformers using tensorflow /
_cMagnus Ekman.
250 _aFirst edition.
260 _aBoston :
_bAddison-Wesley;
_c2022.
263 _a2108
300 _a688p
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.
650 _aE-BOOKBANK.SEECSTEXTBOOK
_9125472
856 _uhttp://10.250.8.41:8080/xmlui/handle/123456789/41688
906 _a0
_bibc
_corignew
_d2
_eepcn
_f20
_gy-gencatlg
942 _2ddc
_cBK
999 _c609728
_d609728