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OCoLC |
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20220616041506.0 |
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180405s2018 cc a 001 0 eng d |
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|a GBB7O1806
|2 bnb
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|a 018646004
|2 Uk
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|a 995019554
|a 996987788
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|a 9781491980453
|q (paperback) :
|c $69.99
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020 |
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|a 1491980451
|q (paperback) :
|c $69.99
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035 |
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|a (OCoLC)1030582228
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040 |
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|a ZQP
|b eng
|e rda
|c ZQP
|d JRZ
|d YDX
|d CHVBK
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|a EEMR
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|a Q325.5
|b .R363 2018
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092 |
0 |
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|a 006.31
|2 23
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100 |
1 |
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|a Ramsundar, Bharath,
|e author.
|0 http://id.loc.gov/authorities/names/nb2018008316
|
245 |
1 |
0 |
|a TensorFlow for deep learning :
|b from linear regression to reinforcement learning /
|c Bharath Ramsundar and Reza Bosagh Zadeh.
|
250 |
|
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|a First edition.
|
264 |
|
1 |
|a Beijing :
|b O'Reilly Media,
|c 2018.
|
300 |
|
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|a xii, 240 pages :
|b illustrations ;
|c 24 cm
|
336 |
|
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|a text
|b txt
|2 rdacontent
|
337 |
|
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|a unmediated
|b n
|2 rdamedia
|
338 |
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|a volume
|b nc
|2 rdacarrier
|
500 |
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|a Includes index.
|
505 |
0 |
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|a Introduction to deep learning -- Introduction to TensorFlow primitives -- Linear and logistic regression with TensorFlow -- Fully connected deep networks -- Hyperparameter optimization -- Convolutional neural networks -- Recurrent neural networks -- Reinforcement learning -- Training large deep networks -- The future of deep learning.
|
630 |
0 |
0 |
|a TensorFlow (Electronic resource)
|
650 |
|
0 |
|a Machine learning.
|0 http://id.loc.gov/authorities/subjects/sh85079324
|
650 |
|
0 |
|a Reinforcement learning.
|0 http://id.loc.gov/authorities/subjects/sh92000704
|
650 |
|
0 |
|a Artificial intelligence.
|0 http://id.loc.gov/authorities/subjects/sh85008180
|
650 |
|
7 |
|a Maschinelles Lernen.
|2 gnd
|
650 |
|
7 |
|a Optimierung.
|2 gnd
|
650 |
|
7 |
|a Lineare Regression.
|2 gnd
|
650 |
|
7 |
|a Neuronales Netz.
|2 gnd
|
650 |
|
7 |
|a Artificial intelligence.
|2 fast
|0 (OCoLC)fst00817247
|
650 |
|
7 |
|a Machine learning.
|2 fast
|0 (OCoLC)fst01004795
|
650 |
|
7 |
|a Reinforcement learning.
|2 fast
|0 (OCoLC)fst01732553
|
700 |
1 |
|
|a Bosagh Zadeh, Reza,
|e author.
|0 http://id.loc.gov/authorities/names/nb2018008318
|
907 |
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|y .b131838246
|b 191104
|c 190531
|
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|b 191003
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|a 92
|b EEM
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|t 0
|
952 |
f |
f |
|p Can Circulate
|a Michigan State University-Library of Michigan
|b Michigan State University
|c MSU Main Library
|d MSU Main Library
|t 0
|e Q325.5 .R363 2018
|h Library of Congress classification
|i Printed Material
|m 31293036779407
|n 1
|