000 | 01811nam a22004217i 4500 | ||
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001 | 20252231 | ||
003 | IIITD | ||
005 | 20240905020003.0 | ||
008 | 180108s2017 caua b 001 0 eng d | ||
010 | _a 2017448783 | ||
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_aGBB704534 _2bnb |
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016 | 7 |
_a018171666 _2Uk |
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035 | _a(OCoLC)ocn992798385 | ||
040 |
_aIG$ _beng _cIG$ _erda _dOCLCO _dTEF _dBDX _dBTCTA _dYDXCP _dOCLCQ _dOCLCF _dFM0 _dCHVBK _dOCLCO _dOQX _dSHS _dU3G _dOCLCA _dDLC |
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042 | _alccopycat | ||
050 | 0 | 0 |
_aTA347.A78 _bB83 2017 |
082 | 0 | 4 |
_a006.31 _223 _bBUD-F |
100 | 1 | _aBuduma, Nikhil | |
245 | 1 | 0 |
_aFundamentals of deep learning : _bdesigning next-generation machine intelligence algorithms _cNikhil Buduma ; with contributions by Nicholas Locascio. |
260 |
_aNew Delhi : _bO'Reilly, _c©2017. |
||
300 |
_axii, 283 p. : _bill.; _c24 cm. |
||
504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _aThe neural network -- Training feed-forward neural networks -- Implementing neural networks in TensorFlow -- Beyond gradient descent -- Convolutional neural networks -- Embedding and representation learning -- Models for sequence analysis -- Memory augmented neural networks -- Deep reinforcement learning. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aMachine learning. | |
650 | 0 | _aNeural networks (Computer science) | |
650 | 7 |
_aArtificial intelligence. _2fast |
|
650 | 7 |
_aMachine learning. _2fast |
|
650 | 7 |
_aNeural networks (Computer science) _2fast |
|
650 | 7 |
_aDeep learning _2gnd |
|
650 | 7 |
_aKünstliche Intelligenz _2gnd |
|
650 | 7 |
_aMaschinelles Lernen _2gnd |
|
700 | 1 | _aLocascio, Nicholas | |
906 |
_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg |
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942 |
_2ddc _cBK _029 |
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