000 | 01121nam a22002777a 4500 | ||
---|---|---|---|
001 | 20577286 | ||
003 | IIITD | ||
005 | 20240415150046.0 | ||
008 | 180710s2018 maua b 001 0 eng | ||
010 | _a 2018026936 | ||
020 | _a9780262039512 | ||
040 |
_aDLC _beng _cDLC _erda _dDLC |
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042 | _apcc | ||
050 | 0 | 0 |
_aQ325.7 _b.C43 2018 |
082 | 0 | 0 |
_a006.31 _223 _bCHA-I |
100 | 1 | _aCharniak, Eugene | |
245 | 1 | 0 |
_aIntroduction to deep learning _cby Eugene Charniak |
260 |
_aMassachusetts : _bMIT Press, _c©2018 |
||
300 |
_axii, 174 p. : _bill. ; _c24 cm |
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504 | _aIncludes bibliographical references (pages 165-168) and index. | ||
505 |
_t1. Feed-forward neural nets _t2. Tensorflow _t3. Convolutional neural networks _t4. Word embeddings and recurrent NNs _t5. Sequence-to-sequence learning _t6. Deep reinforcement learning _t7. Unsupervised neural-network models. |
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650 | 0 | _aComputational learning theory. | |
906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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942 |
_2ddc _cBK |
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999 |
_c172589 _d172589 |