000 02238nam a2200445 i 4500
001 997423738
003 IIITD
005 20200305020003.0
007 cr cnu|||unuuu
008 170801s2017 cau ob 001 0 eng d
020 _a9789352136049
035 _a(OCoLC)997423738
_z(OCoLC)999544158
_z(OCoLC)1000155572
_z(OCoLC)1002905278
037 _aAD209375-0802-482F-ABA4-D5EFC47F1E2C
_bOverDrive, Inc.
_nhttp://www.overdrive.com
040 _aN$T
_beng
_erda
_epn
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_dIDEBK
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049 _aBNYC
050 4 _aQ325.5
072 7 _aCOM
_x000000
_2bisacsh
082 0 4 _a006.31
_223
_bPAT-D
091 _aeNYPL Book
100 1 _aPatterson, Josh
245 1 0 _aDeep learning :
_ba practitioner's approach
_cJosh Patterson and Adam Gibson.
260 _aNew Delhi :
_bO'Reilly,
_c©2017.
300 _axxi, 507 p.;
_c25 cm.
504 _aIncludes bibliographical references and index.
505 0 _aA review of machine learning -- Foundations of neural networks and deep learning -- Fundamentals of deep networks -- Major architecture of deep networks -- Building deep networks -- Tuning deep networks -- Tuning specific deep network architectures -- Vectorization -- Using deep learning and DL4J on Spark -- What is artificial intelligence? -- RL4J and reinforcement learning -- Numbers everyone should know -- Neural networks and backpropagation: a mathematical approach -- Using the ND4J API -- Using DataVec -- Working with DL4J from source -- Setting up DL4J projects -- Setting up GPUs for DL4J projects -- Troubleshooting DL4J installations.
650 0 _aMachine learning.
650 0 _aArtificial intelligence.
650 0 _aNeural networks (Computer science)
650 7 _aCOMPUTERS / General
_2bisacsh.
650 7 _aArtificial intelligence.
_2fast
650 7 _aMachine learning.
_2fast
650 7 _aNeural networks (Computer science)
_2fast
655 0 _aElectronic books.
700 1 _aGibson, Adam
776 0 8 _cOriginal
_z1491914254
_z9781491914250
_w(OCoLC)902657832.
856 4 0 _uhttp://link.overdrive.com/?websiteID=37&titleID=3380857
_yAccess eNYPL
901 _aOCLC
908 4 _aQ325.5
942 _2ddc
_cBK
_08
999 _c24326
_d24326