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 |