LEADER 04635nam 2200709 450 001 996234838803316 005 20200917021826.0 010 $a3-11-044613-8 010 $a3-11-044737-1 024 7 $a10.1515/9783110447378 035 $a(CKB)3710000000543578 035 $a(EBL)4230924 035 $a(SSID)ssj0001590937 035 $a(PQKBManifestationID)16252099 035 $a(PQKBTitleCode)TC0001590937 035 $a(PQKBWorkID)14850545 035 $a(PQKB)10276724 035 $a(PQKBManifestationID)16287299 035 $a(PQKB)24007412 035 $a(DE-B1597)457315 035 $a(OCoLC)932463341 035 $a(DE-B1597)9783110447378 035 $a(Au-PeEL)EBL4230924 035 $a(CaPaEBR)ebr11137175 035 $a(CaONFJC)MIL881773 035 $a(MiAaPQ)EBC4230924 035 $a(PPN)202110478 035 $a(EXLCZ)993710000000543578 100 $a20160128h20152015 uy 0 101 0 $aita 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aArtes grammaticae in frammenti $ei testi grammaticali latini e bilingui greco-latini su papiro : edizione commentata /$fMaria Chiara Scappaticcio 210 1$aBerlin, Germany ;$aBoston, [Massachusetts] :$cDe Gruyter,$d2015. 210 4$d©2015 215 $a1 online resource (601 p.) 225 1 $aSammlung griechischer und lateinischer Grammatiker,$x1862-2372 ;$vBand 17 300 $aDescription based upon print version of record. 311 $a3-11-044503-4 320 $aIncludes bibliographical references and indexes. 327 $tFrontmatter -- $tIndice del volume -- $tPrefazione -- $tArtes Grammaticae in frammenti I testi grammaticali latini e bilingui greco-latini su papiro: edizione commentata -- $tCapitolo I. Testi e contesti: l?insegnamento del latino in Egitto -- $tCapitolo II. Artes, ?glossari? e colloquia -- $tCapitolo III. Grammatiche latine frammentarie d?Oriente -- $tCapitolo I. Scrivere e pronunciare le lettere dell?alfabeto latino: gli abecedari. -- $tParte I. Schulgrammatik-type -- $tCapitolo I. Declinare in latino -- $tCapitolo II Coniugare in latino (e in greco) -- $tCapitolo I Il vocabolario con il sussidio della grammatica: lessici e glossari bilingui -- $tCapitolo II Gli auctores con il sussidio della grammatica: le adnotationes agli auctores -- $tIl P.Oxy. VI 871: frammento filosofico o ?sapienziale-grammaticale?? -- $tLatin as a language of acculturation in the Graeco-Roman world: the testimony of the papyri -- $tRiferimenti bibliografici -- $tIndice dei passi citati -- $tIndice di iscrizioni, papiri e manoscritti citati -- $tIndice dei luoghi citati -- $tTavole 330 $aMaking a corpus of Latin grammatical papyri is not simply a contribution to Latin Papyrology, but especially a decisive element for our knowledge of ?manuals? in schools in the Eastern Roman Empire, their linguistic theories and the way in which they used to ?write? Grammar. A diachronical and diatopical analysis, in parallel with the known (Tèchnai and the) Late Antiquity?s Artes, will support a new step while making a corpus of Grammaticae Romanae Fragmenta. In 1979, Alfons Wouters published a corpus containing twentyfive grammatical papyri. Only one was Latin, the P.Lit.Lond. 184 (Brit. Libr. inv. 2723) + P.Mich. VII 429, which contains an Ars concerning the parts of speech and other grammatical themes, written on the verso of a military document (II a.D.). Today, after more than thirty years, new documents can be added to Wouters? corpus, and the book inglobes all of them. Artes Grammaticae in frammenti collects and scrutinizes all the known Latin and bilingual (Greek-Latin and Latin-Greek) grammatical texts on papyrus in order to add further tesserae in the mosaic of our knowledge of forms, practices and circulation of Latin grammar and Roman education. 410 0$aSammlung griechischer und lateinischer Grammatiker ;$vBand 17. 606 $aLatin language$vTexts 606 $aManuscripts, Latin (Papyri) 606 $aManuscripts, Greek (Papyri) 615 0$aLatin language 615 0$aManuscripts, Latin (Papyri) 615 0$aManuscripts, Greek (Papyri) 676 $a470 700 $aScappaticcio$b Maria Chiara$0477793 702 $aSwiggers$b Pierre, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aWouters$b Alfons, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996234838803316 996 $aArtes grammaticae in frammenti$91557512 997 $aUNISA LEADER 01864nam 2200493 450 001 9910716996303321 005 20211025112833.0 035 $a(CKB)5470000002526228 035 $a(OCoLC)1280314451 035 $a(EXLCZ)995470000002526228 100 $a20211025j201108 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSeismic performance of steel plate girder bridges with integral abutments 210 1$aWashington, DC :$cU.S. Department of Transportation, Federal Highway Administration,$dAugust 2011. 215 $a1 online resource (x, 152 pages) $cillustrations 300 $a"Publication no. FHWA-HIF-11-043." 300 $a"August 2011. 300 $a"Authors: Ahmad M. Itani and Gokhan Pekcan"--[Technical report documentation page]. 320 $aIncludes bibliographical references (pages 147-149). 606 $aEarthquake resistant design 606 $aEarthquake resistant design$xComputer simulation 606 $aIron and steel bridges$xMaintenance and repair 606 $aIron and steel bridges$xTesting 606 $aBridges$xAbutments$xTesting 606 $aGirders$xTesting 615 0$aEarthquake resistant design. 615 0$aEarthquake resistant design$xComputer simulation. 615 0$aIron and steel bridges$xMaintenance and repair. 615 0$aIron and steel bridges$xTesting. 615 0$aBridges$xAbutments$xTesting. 615 0$aGirders$xTesting. 700 $aItani$b Ahmad M.$01414264 702 $aPekcan$b Gokhan 712 02$aUnited States.$bFederal Highway Administration, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910716996303321 996 $aSeismic performance of steel plate girder bridges with integral abutments$93512983 997 $aUNINA LEADER 03911nam 2200469 450 001 9910796961203321 005 20200520144314.0 010 $a1-78847-155-5 035 $a(CKB)4100000005248905 035 $a(Au-PeEL)EBL5455319 035 $a(OCoLC)1046616797 035 $a(CaSebORM)9781788474221 035 $a(MiAaPQ)EBC5455319 035 $a(PPN)230108334 035 $a(EXLCZ)994100000005248905 100 $a20180816d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApache spark deep learning cookbook $eover 80 recipes that streamline deep learning in a distributed environment with Apache Spark /$fAhmed Sherif, Amrith Ravindra 205 $a1st edition 210 1$aBirmingham ;$aMumbai :$cPackt,$d2018. 215 $a1 online resource (462 pages) 311 $a1-78847-422-8 320 $aIncludes bibliographical references. 330 $aA solution-based guide to put your deep learning models into production with the power of Apache Spark Key Features Discover practical recipes for distributed deep learning with Apache Spark Learn to use libraries such as Keras and TensorFlow Solve problems in order to train your deep learning models on Apache Spark Book Description With deep learning gaining rapid mainstream adoption in modern-day industries, organizations are looking for ways to unite popular big data tools with highly efficient deep learning libraries. As a result, this will help deep learning models train with higher efficiency and speed. With the help of the Apache Spark Deep Learning Cookbook, you'll work through specific recipes to generate outcomes for deep learning algorithms, without getting bogged down in theory. From setting up Apache Spark for deep learning to implementing types of neural net, this book tackles both common and not so common problems to perform deep learning on a distributed environment. In addition to this, you'll get access to deep learning code within Spark that can be reused to answer similar problems or tweaked to answer slightly different problems. You will also learn how to stream and cluster your data with Spark. Once you have got to grips with the basics, you'll explore how to implement and deploy deep learning models, such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) in Spark, using popular libraries such as TensorFlow and Keras. By the end of the book, you'll have the expertise to train and deploy efficient deep learning models on Apache Spark. What you will learn Set up a fully functional Spark environment Understand practical machine learning and deep learning concepts Apply built-in machine learning libraries within Spark Explore libraries that are compatible with TensorFlow and Keras Explore NLP models such as Word2vec and TF-IDF on Spark Organize dataframes for deep learning evaluation Apply testing and training modeling to ensure accuracy Access readily available code that may be reusable Who this book is for If you're looking for a practical and highly useful resource for implementing efficiently distributed deep learning models with Apache Spark, then the Apache Spark Deep Learning Cookbook is for you. Knowledge of the core machine learning concepts and a basic understanding of the Apache Spark framework is required to get the best out of this book. Additionally, some programming knowledge in Python ... 606 $aData mining$xComputer programs 606 $aBig data 615 0$aData mining$xComputer programs. 615 0$aBig data. 676 $a006.312 700 $aSherif$b Ahmed$0897913 702 $aRavindra$b Amrith 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910796961203321 996 $aApache spark deep learning cookbook$93798898 997 $aUNINA