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010 _a 2017448783
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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 _aK√ľnstliche Intelligenz
_2gnd
650 7 _aMaschinelles Lernen
_2gnd
700 1 _aLocascio, Nicholas
906 _a7
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_cBK
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955 _brl09 2018-01-08 z-processor
_irl09 2018-01-09 ; to BCCD
999 _c24325
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