000 01261cam a2200277 i 4500
001 21759100
003 OSt
005 20250223141716.0
008 201016s2021 caua b 001 0 eng
020 _a9781718500723
040 _aDLC
_beng
_cDLC
_erda
_dDLC
050 0 0 _aQ325.5
_b.G58 2021
100 1 _aGlassner, Andrew S.
245 1 0 _aDeep learning :
_ba visual approach /
_cAndrew Glassner.
264 1 _aSan Francisco, CA :
_bNo Starch Press,
_c[2021]
300 _axxviii, 736 pages :
_billustrations (chiefly color) ;
_c24 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references (pages [693]-719) and index.
520 _a"A practical, thorough introduction to deep learning, without the usage of advanced math or programming. Covers topics such as image classification, text generation, and the machine learning techniques that are the basis of modern AI"--
_cProvided by publisher.
650 0 _aMachine learning.
650 0 _aNeural networks (Computer science)
776 0 8 _iOnline version:
_aGlassner, Andrew.
_tDeep learning
_dSan Francisco, CA : No Starch Press, Inc., [2021]
_z9781718500730
_w(DLC) 2020047327
942 _2lcc
_cBK
_n0
999 _c26602
_d26602