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[null,"1.","Record Nr.",null,"UNINA9910779815903321"]
[null,null,"Autore",null,"Bell Vikki <1967, >"]
[null,null,"Titolo",null,"Interrogating incest : feminism, Foucault, and the law / / Vikki Bell"]
[null,null,"Pubbl/distr/stampa",null,"London ; ; New York : , : Routledge, , 1993"]
[null,null,"ISBN",null,"1-134-89652-2"]
[{"$nulls":4},"1-134-89653-0"]
[{"$nulls":4},"1-280-32242-X"]
[{"$nulls":4},"0-203-41018-1"]
[null,null,"Descrizione fisica",null,"1 online resource (225 p.)"]
[null,null,"Collana",null,"Sociology of law and crime"]
[null,null,"Disciplina",null,"306.877"]
[null,null,"Soggetti",null,"Incest"]
[{"$nulls":4},"Feminist theory"]
[{"$nulls":4},"Sex crimes"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 197-206) and index."]
[null,null,"Nota di contenuto",null,"Book Cover; Title; Contents; Preface; Series editors' preface; Acknowledgements; INTRODUCTION: INTERROGATING INCEST; A CONTINUAL CONTEST: FOUCAULT AND FEMINISM; FAMILIAR STORIES: THE FEMINIST ANALYSES OF INCEST; TELLING AND TABOO: FEMINISM WITHIN THE FOUCAULDIAN LANDSCAPE; WHAT'S THE PROBLEM? THE CONSTRUCTION AND CRIMINALISATION OF INCEST; MAKING MONSTERS, LOCATING SEX: FOUCAULT AND FEMINISM IN DEBATE; CONCLUSION; The law of incest in Britain; List of parliamentary debates; Notes; Bibliography; Index"]
[null,null,null,"Sommario/riassunto","Winner of British Sociological Association Philip Abrams Memorial Prize 1993 Within feminism incest has often been subsumed under a discussion of sexual violence and abuse. Yet, important as this is, there has been little account of how feminist work itself relates to other ways of talking about and understanding incest.In Interrogating Incest Vikki Bell focuses on the issue of incest and its place in sociological theory, feminist theory and criminal law. By examining incest from a critical Foucauldian framework she considers how feminist discourse on incest itself fits into exist"]
[null,"2.","Record Nr.",null,"UNINA9910812357803321"]
[null,null,"Autore",null,"Bernico Michael"]
[null,null,"Titolo",null,"Deep learning quick reference : useful hacks for training and optimizing deep neural networks with TensorFlow and Keras. / / Michael Bernico"]
[null,null,"Pubbl/distr/stampa",null,"Birmingham, England ; ; Mumbai, [India] : , : Packt, , 2018"]
[{"$nulls":4},"2018"]
[null,null,"Edizione",null,"[First edition]"]
[null,null,"Descrizione fisica",null,"1 online resource (272 pages)"]
[null,null,"Disciplina",null,"005.3"]
[null,null,"Soggetti",null,"Open source software - Library applications"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,null,"Sommario/riassunto","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 "]
[{"$nulls":4},"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..."]