000 | 01001nam a22002897a 4500 | ||
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003 | OSt | ||
005 | 20220930122753.0 | ||
008 | 191122b xxu||||| |||| 00| 0 eng d | ||
020 | _a9783030145224 | ||
040 | _cIIITMK | ||
082 | _a006.31 PAP/D | ||
100 |
_aPappachen James, Alex (Ed.) _917122 |
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245 |
_aDeep learning classifiers with memristive networks: _bTheory and applications _cAlex Pappachen James |
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260 |
_aSwitzerland, _bSpringer, _c2020. |
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300 | _axiii, 213p. | ||
440 |
_aModeling and optimization in science and technologies _917123 |
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500 | _aGifted by Alex Pappachen James Associate Professor, IIITMK | ||
650 |
_aCOMPUTER SCIENCE _917376 |
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650 |
_aMACHINE LEARNING _917377 |
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650 |
_aDEEP LEARNING _917378 |
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650 |
_aNEURAL NETWORKS _917379 |
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650 |
_aDEEP LEARNING CLASSIFIERS _917380 |
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650 |
_aMEMRISTIVE NETWORK _917381 |
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650 |
_aNEURO-MEMRISTIVE SYSTEMS _917382 |
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650 |
_aMEMRISTOR CIRCUITS AND SYSTEMS _917383 |
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942 |
_2ddc _cBK |
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999 |
_c6664 _d6664 |