LDR | | 01985cmm u22004571i 4500 |
001 | | 000000317291 |
003 | | OCoLC |
005 | | 20230525182259 |
006 | | m d |
007 | | cr ||||||||||| |
008 | | 190813s2019 enk o 000 0 eng d |
015 | |
▼a GBB9E4053
▼2 bnb |
016 | 7 |
▼a 019513442
▼2 Uk |
020 | |
▼a 1789613795 |
020 | |
▼a 9781789613797
▼q (electronic bk.) |
035 | |
▼a 2254506
▼b (N$T) |
035 | |
▼a (OCoLC)1122171474 |
037 | |
▼a 9781789613797
▼b Packt Publishing |
040 | |
▼a UKMGB
▼b eng
▼e rda
▼e pn
▼c UKMGB
▼d OCLCO
▼d OCLCF
▼d N$T
▼d 248032 |
049 | |
▼a MAIN |
050 | 4 |
▼a Q325.5 |
082 | 04 |
▼a 006.32
▼2 23 |
100 | 1 |
▼a Galeone, Paolo,
▼e author. |
245 | 10 |
▼a Hands-on neural networks with TensorFlow 2.0 :
▼b train, model and deploy the neural networks into your systems using the power of TensorFlow 2.0 /
▼c Paolo Galeone. |
260 | |
▼a Birmingham :
▼b Packt Publishing,
▼c 2019. |
300 | |
▼a 1 online resource |
336 | |
▼a text
▼2 rdacontent |
337 | |
▼a computer
▼2 rdamedia |
338 | |
▼a online resource
▼2 rdacarrier |
500 | |
▼a Table of ContentsWhat is Machine Learning?Neural Networks and Deep LearningTensorFlow Graph ArchitectureTensorFlow 2.0 ArchitectureEfficient Data Input Pipelines and Estimator APIImage Classification using TensorFlow HubIntroduction to Object DetectionSemantic Segmentation and Custom Dataset BuilderGenerative Adversarial NetworksBringing a Model to Production. |
588 | |
▼a Description based on CIP data; resource not viewed. |
590 | |
▼a Master record variable field(s) change: 050 |
630 | 00 |
▼a TensorFlow. |
650 | 0 |
▼a Neural networks (Computer science) |
650 | 0 |
▼a Machine learning. |
650 | 7 |
▼a Machine learning.
▼2 fast
▼0 (OCoLC)fst01004795 |
650 | 7 |
▼a Neural networks (Computer science)
▼2 fast
▼0 (OCoLC)fst01036260 |
655 | 4 |
▼a Electronic books. |
856 | 40 |
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2254506 |
938 | |
▼a EBSCOhost
▼b EBSC
▼n 2254506 |
990 | |
▼a 관리자 |
994 | |
▼a 92
▼b N$T |