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[null,"1.","Record Nr.",null,"UNINA9910796961203321"]
[null,null,"Autore",null,"Sherif Ahmed"]
[null,null,"Titolo",null,"Apache spark deep learning cookbook : over 80 recipes that streamline deep learning in a distributed environment with Apache Spark / / Ahmed Sherif, Amrith Ravindra"]
[null,null,"Pubbl/distr/stampa",null,"Birmingham ; ; Mumbai : , : Packt, , 2018"]
[null,null,"ISBN",null,"1-78847-155-5"]
[null,null,"Edizione",null,"[1st edition]"]
[null,null,"Descrizione fisica",null,"1 online resource (462 pages)"]
[null,null,"Disciplina",null,"006.312"]
[null,null,"Soggetti",null,"Data mining - Computer programs"]
[{"$nulls":4},"Big data"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,null,"Sommario/riassunto","A solution-based guide to put your deep learning models into production with the power of Apache Spark Key Features Discover practical recipes for distributed deep learning with Apache Spark Learn to use libraries such as Keras and TensorFlow Solve problems in order to train your deep learning models on Apache Spark Book Description With deep learning gaining rapid mainstream adoption in modern-day industries, organizations are looking for ways to unite popular big data tools with highly efficient deep learning libraries. As a result, this will help deep learning models train with higher efficiency and speed. With the help of the Apache Spark Deep Learning Cookbook, you'll work through specific recipes to generate outcomes for deep learning algorithms, without getting bogged down in theory. From setting up Apache Spark for deep learning to implementing types of neural net, this book tackles both common and not so common problems to perform deep learning on a distributed environment. In addition to this, you'll get access to deep learning code within Spark that can be reused to answer similar problems or tweaked to answer slightly different problems. You will also learn how to stream and cluster your data with Spark. Once you have got to grips with the basics, you'll explore how to implement and deploy deep learning models, such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) in Spark, using popular libraries such as TensorFlow and Keras. By the end of the book, you'll have the expertise to train and deploy efficient deep "]
[{"$nulls":4},"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 ..."]
[null,"2.","Record Nr.",null,"UNINA9910791294203321"]
[null,null,"Autore",null,"Lim Tai-Wei"]
[null,null,"Titolo",null,"Fired clay in four porcelain clusters : a comparative study of energy use, production/environmental ecology, and kiln development in Arita, Hong Kong, Jingdezhen, and Yingge / / Tai Wei Lim"]
[null,null,"Pubbl/distr/stampa",null,"Lanham, Maryland ; ; Plymouth, England : , : University Press of America, Inc., , 2014"]
[{"$nulls":4},"©2014"]
[null,null,"ISBN",null,"0-7618-6429-6"]
[null,null,"Descrizione fisica",null,"1 online resource (235 p.)"]
[null,null,"Disciplina",null,"333.7916"]
[null,null,"Soggetti",null,"Energy conservation - Asia"]
[{"$nulls":4},"Ceramic industries - Technological innovations - Asia"]
[{"$nulls":4},"Kilns - Asia"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Contents; Illustrations; Acknowledgments; Introduction; 1 Japanese Trade Ceramics in the Premodern Global Trading Space; 2 Interpretations of Japanese Modernity; 3 Energy Transition in Creative Production; 4 Blue and White Fired Clay in Everyday Lives; 5 Ideas about Resource Use and the Natural Environment in Pottery-making; 6 Post-Modernism and Pottery-Making; 7 Negotiating the Narrative of the \"Last Frontier\"; 8 Shek Kip Mei's Artistic Green Village; 9 Fieldwork in Arita; 10 A History of Jingdezhen Kilns, Its Development, and Energy Use (with Comparative References to Arita)"]
[{"$nulls":4},"11 Yingge - The Town, Its Developmental History, and Energy Use12 Conclusion; Bibliography"]
[null,null,null,"Sommario/riassunto","<span><span>This book examines how energy use has evolved with technological advancements and changing social norms and ideas in environmental conservation and productive output in the ceramics-making industry. The four cities or towns of Arita, Hong Kong, Jingdezhen, and Yingge are the settings for this research.</span></span>"]