| 000 | 00853nam a2200289Ia 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20220912144130.0 | ||
| 006 | a|||||r|||| 00| 0 | ||
| 007 | ta | ||
| 008 | 220909b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9789813146457 (pbk) | ||
| 024 | _a197453 | ||
| 037 | _cTextual | ||
| 040 | _beng | ||
| 041 | _aeng | ||
| 082 | _aD65,8(B):(L72), Q6 | ||
| 100 | _aGraupe Daniel | ||
| 245 | 0 | _aDeep learning neural networks: design and case studies | |
| 260 |
_aSingapore _bWorld Scientific _c2016 |
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| 300 |
_axvi, 263p. ill. _ccm |
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| 500 | _aAppendices 153-253p.; Author index 255-257p.; Subject index 259-263p. | ||
| 650 | _a Back-propagation | ||
| 650 | _a Cognitron and neocongnitron | ||
| 650 | _aNeural networks | ||
| 942 |
_hD65,8(B):(L72), Q6 _cTEXL _2CC |
||
| 999 |
_c4263 _d4263 |
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