| 000 | camIa | |
| 001 | 2210080898137 | |
| 003 | OCoLC | |
| 005 | 20210225115124 | |
| 006 | m d | |
| 007 | cr ||||||||||| | |
| 008 | 191219s2019 enk o 000 0 eng d | |
| 020 | ▼a9781789952711▼q(electronic bk.) | |
| 020 | ▼a1789952719▼q(electronic bk.) | |
| 035 | ▼a2330669▼b(N▼T) | |
| 035 | ▼a(OCoLC)1131795210 | |
| 037 | ▼a45B1916B-7ACF-4E26-BD40-A70C20CEE27E▼bOverDrive, Inc.▼nhttp://www.overdrive.com | |
| 040 | ▼aYDX▼beng▼cYDX▼dTEFOD▼dEBLCP▼dN▼d221008 | |
| 050 | ▼aQA76.73.P98 | |
| 082 | ▼a005.133▼223 | |
| 100 | ▼aVasilev, Ivan. | |
| 245 | 00 | ▼aAdvanced deep learning with Python. |
| 260 | ▼aBirmingham, UK :▼bPackt Publishing,▼c2019. | |
| 300 | ▼a1 online resource | |
| 520 | ▼aThis book is an expert-level guide to master the neural network variants using the Python ecosystem. You will gain the skills to build smarter, faster, and efficient deep learning systems with practical examples. By the end of this book, you will be up to date with the latest advances and current researches in the deep learning domain. | |
| 588 | ▼aOnline resource; title from PDF title page (EBSCO, viewed January 20, 2020) | |
| 590 | ▼aMaster record variable field(s) change: 050, 082, 650 | |
| 650 | ▼aPython (Computer program language) | |
| 650 | ▼aMachine learning. | |
| 650 | ▼aNeural networks (Computer science) | |
| 650 | ▼aArtificial intelligence. | |
| 655 | ▼aElectronic books. | |
| 856 | ▼3EBSCOhost▼uhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2330669 | |
| 938 | ▼aProQuest Ebook Central▼bEBLB▼nEBL6005548 | |
| 938 | ▼aYBP Library Services▼bYANK▼n301010426 | |
| 938 | ▼aEBSCOhost▼bEBSC▼n2330669 | |
| 994 | ▼a92▼bN |
Advanced deep learning with Python
Material type
전자책
Title
Advanced deep learning with Python
Author's Name
Publication
Birmingham, UK : Packt Publishing 2019.
Physical Description
1 online resource
Keyword
This book is an expert-level guide to master the neural network variants using the Python ecosystem. You will gain the skills to build smarter, faster, and efficient deep learning systems with practical examples. By the end of this book, you will be up to date with the latest advances and current researches in the deep learning domain.
ISBN
관련 URL
Holdings Information
RReservation
MMissing Book Request
CClosed Stack Request
IInter-Campus Loan
CPriority Cataloging
PPrint
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