04207nam 2200745 450 991046263390332120211217013908.00-8122-0130-210.9783/9780812201307(CKB)2670000000419277(OCoLC)861529465(CaPaEBR)ebrary10757353(SSID)ssj0001000155(PQKBManifestationID)11587644(PQKBTitleCode)TC0001000155(PQKBWorkID)10943351(PQKB)10592297(MiAaPQ)EBC3442253(MdBmJHUP)muse31578(DE-B1597)448985(OCoLC)979968244(DE-B1597)9780812201307(Au-PeEL)EBL3442253(CaPaEBR)ebr10757353(CaONFJC)MIL682329(EXLCZ)99267000000041927720080617h20092009 uy| 0engurcnu||||||||txtccrFrom Paris to Pompeii French romanticism and the cultural politics of archaeology /Göran BlixPhiladelphia :PENN,[2009]©20091 online resource (319 p.)Bibliographic Level Mode of Issuance: Monograph1-322-51047-4 0-8122-4136-3 Includes bibliographical references (pages [277]-297) and index.Front matter --Contents --Illustrations --Introduction --Chapter One: Neoclassical Pompeii --Chapter Two: The Antiquarian Comes of Age --Chapter Three: The Archaeological Turn --Chapter Four: The Specular Past --Chapter Five: Body Politics --Chapter Six: Lost Worlds and the Archive --Chapter Seven: The Uses of Archaeology --Notes --Bibliography --Index --AcknowledgmentsIn the early nineteenth century, as amateur archaeologists excavated Pompeii, Egypt, Assyria, and the first prehistoric sites, a myth arose of archaeology as a magical science capable of unearthing and reconstructing worlds thought to be irretrievably lost. This timely myth provided an urgent antidote to the French anxiety of amnesia that undermined faith in progress, and it armed writers from Chateaubriand and Hugo to Michelet and Renan with the intellectual tools needed to affirm the indestructible character of the past. From Paris to Pompeii reveals how the nascent science of archaeology lay at the core of the romantic experience of history and shaped the way historians, novelists, artists, and the public at large sought to cope with the relentless change that relegated every new present to history. In post-revolutionary France, the widespread desire to claim that no being, city, culture, or language was ever definitively erased ran much deeper than mere nostalgic and reactionary impulses. Göran Blix contends that this desire was the cornerstone of the substitution of a weak secular form of immortality for the lost certainties of the Christian afterlife. Taking the iconic city of Pompeii as its central example, and ranging widely across French romantic culture, this book examines the formation of a modern archaeological gaze and analyzes its historical ontology, rhetoric of retrieval, and secular theology of memory, before turning to its broader political implications.ArchaeologyFranceHistory19th centuryArchaeologyHistory19th centuryArchaeologyPhilosophyArchaeology and historyRomanticismFranceHistory19th centurySecularismFranceHistory19th centuryFranceIntellectual life19th centuryElectronic books.ArchaeologyHistoryArchaeologyHistoryArchaeologyPhilosophy.Archaeology and history.RomanticismHistorySecularismHistory930.10944Blix Göran Magnus1971-1037336MiAaPQMiAaPQMiAaPQBOOK9910462633903321From Paris to Pompeii2458248UNINA01015cam a2200265 i 4500991002797659707536150630s2004 it b b 000 0 ita 8849811136b14233770-39ule_instDip.to Studi Giuridiciite306.697096960.3Società globale e Africa musulmana :aperture e resistenze /a cura di Anna BaldinettiSoveria Mannelli [Italy] :Rubbettino,c2004196 p. :maps ;24 cmGlobalizzazioneAfricaIslamismoAfricaSec. 21.AfricaCivilizazioneInfluenze IslamicheBaldinetti, Anna.b1423377002-07-1530-06-15991002797659707536LE027 PROG. FIR M 1612027000331710le027Progetto FIRpE13.00-l- 00000.i1568472602-07-15Società globale e Africa musulmana255509UNISALENTOle02730-06-15ma -itait 0003818nam 2200433 450 991081235780332120240108173342.0(CKB)4110000000007665(CaSebORM)9781788837996(MiAaPQ)EBC5322203(Au-PeEL)EBL5322203(CaPaEBR)ebr11525750(OCoLC)1029492030(EXLCZ)99411000000000766520180405h20182018 uy 0engurcn####|||||txtrdacontentcrdamediacrrdacarrierDeep learning quick reference useful hacks for training and optimizing deep neural networks with TensorFlow and Keras. /Michael BernicoFirst editionBirmingham, England ;Mumbai, [India] :Packt,2018.20181 online resource (272 pages)Includes index.1-78883-799-1 Dive deeper into neural networks and get your models trained, optimized with this quick reference guide About This Book A quick reference to all important deep learning concepts and their implementations Essential tips, tricks, and hacks to train a variety of deep learning models such as CNNs, RNNs, LSTMs, and more Supplemented with essential mathematics and theory, every chapter provides best practices and safe choices for training and fine-tuning your models in Keras and Tensorflow. Who This Book Is For If you are a Data Scientist or a Machine Learning expert, then this book is a very useful read in training your advanced machine learning and deep learning models. You can also refer this book if you are stuck in-between the neural network modeling and need immediate assistance in getting accomplishing the task smoothly. Some prior knowledge of Python and tight hold on the basics of machine learning is required. What You Will Learn Solve regression and classification challenges with TensorFlow and Keras Learn to use Tensor Board for monitoring neural networks and its training Optimize hyperparameters and safe choices/best practices Build CNN's, RNN's, and LSTM's and using word embedding from scratch Build and train seq2seq models for machine translation and chat applications. Understanding Deep Q networks and how to use one to solve an autonomous agent problem. Explore Deep Q Network and address autonomous agent challenges. In Detail Deep learning has become an essential necessity to enter the world of artificial intelligence. With this book deep learning techniques will become more accessible, practical, and relevant to practicing data scientists. It moves deep learning from academia to the real world through practical examples. You will learn how Tensor Board is used to monitor the training of deep neural networks and solve binary classification problems using deep learning. Readers will then learn to optimize hyperparameters in their deep learning models. The book then takes the readers through the practical implementation of training CNN's, RNN's, and LSTM's with word embeddings and seq2seq models from scratch. Later the book explores advanced topics such as Deep Q Network to solve an autonomous agent problem and how to use two adversarial networks to generate artificial images that appear real. For implementation purposes, we look at popular Python-based deep learning frameworks such as Keras and Tensorflow, Each chapter provides best pr...Open source softwareLibrary applicationsOpen source softwareLibrary applications.005.3Bernico Michael1706648MiAaPQMiAaPQMiAaPQBOOK9910812357803321Deep learning quick reference4094239UNINA