Listing 1 - 10 of 47 | << page >> |
Sort by
|
Choose an application
Shaping the body by means of clothing has been an essential part of European fashion history. Since the late Middle Ages, the development of styles has gone hand in hand with ever-changing cuts of garments, which also modified the appearance of the human figure. However, only if the inner construction was carefully conceived and executed, the desired fashionable effect could be achieved. This publication elucidates various aspects of the history of women's foundation garments, based on papers by renowned experts.
Choose an application
Choose an application
De voormalige directeur van Poetry International beschrijft de geschiedenis van het poëziefestijn dat in 2019 vijftig jaar bestaat..
Choose an application
One of the most referential architectural spaces in Lisbon, the Gulbenkian Foundation complex is a Portuguese architectural masterpiece made possible by the collective work of five architects (Ruy Jervis d'Athouguia, Alberto Pessoa, Pedro Cid, Gonçalo Ribeiro Telles, António Viana Barreto). Through specially taken photographs by André Cepeda and edited drawings, this book shows why the project has been, since de 1960s, a reference for generations of architects.
Choose an application
Choose an application
Speed up the design and implementation of deep learning solutions using Apache SparkKey FeaturesExplore the world of distributed deep learning with Apache SparkTrain neural networks with deep learning libraries such as BigDL and TensorFlowDevelop Spark deep learning applications to intelligently handle large and complex datasetsBook DescriptionDeep learning is a subset of machine learning where datasets with several layers of complexity can be processed. Hands-On Deep Learning with Apache Spark addresses the sheer complexity of technical and analytical parts and the speed at which deep learning solutions can be implemented on Apache Spark. The book starts with the fundamentals of Apache Spark and deep learning. You will set up Spark for deep learning, learn principles of distributed modeling, and understand different types of neural nets. You will then implement deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) on Spark. As you progress through the book, you will gain hands-on experience of what it takes to understand the complex datasets you are dealing with. During the course of this book, you will use popular deep learning frameworks, such as TensorFlow, Deeplearning4j, and Keras to train your distributed models. By the end of this book, you'll have gained experience with the implementation of your models on a variety of use cases. What you will learnUnderstand the basics of deep learningSet up Apache Spark for deep learningUnderstand the principles of distribution modeling and different types of neural networksObtain an understanding of deep learning algorithmsDiscover textual analysis and deep learning with SparkUse popular deep learning frameworks, such as Deeplearning4j, TensorFlow, and KerasExplore popular deep learning algorithmsWho this book is forIf you are a Scala developer, data scientist, or data analyst who wants to learn how to use Spark for implementing efficient deep learning models, Hands-On Deep Learning with Apache Spark is for you. Knowledge of the core machine learning concepts and some exposure to Spark will be helpful.
Choose an application
Speed up the design and implementation of deep learning solutions using Apache Spark Key Features Explore the world of distributed deep learning with Apache Spark Train neural networks with deep learning libraries such as BigDL and TensorFlow Develop Spark deep learning applications to intelligently handle large and complex datasets Book Description Deep learning is a subset of machine learning where datasets with several layers of complexity can be processed. Hands-On Deep Learning with Apache Spark addresses the sheer complexity of technical and analytical parts and the speed at which deep learning solutions can be implemented on Apache Spark. The book starts with the fundamentals of Apache Spark and deep learning. You will set up Spark for deep learning, learn principles of distributed modeling, and understand different types of neural nets. You will then implement deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) on Spark. As you progress through the book, you will gain hands-on experience of what it takes to understand the complex datasets you are dealing with. During the course of this book, you will use popular deep learning frameworks, such as TensorFlow, Deeplearning4j, and Keras to train your distributed models. By the end of this book, you'll have gained experience with the implementation of your models on a variety of use cases. What you will learn Understand the basics of deep learning Set up Apache Spark for deep learning Understand the principles of distribution modeling and different types of neural networks Obtain an understanding of deep learning algorithms Discover textual analysis and deep learning with Spark Use popular deep learning frameworks, such as Deeplearning4j, TensorFlow, and Keras Explore popular deep learning algorithms Who this book is for If you are a Scala developer, data scientist, or data analyst who wants to learn how to use Spark for implementing efficient deep learning models, Hands-On Deep Learning with Apache Spark is for you. Knowledge of the core machine learning concepts and some exposure to Spark will be helpful.
Choose an application
Choose an application
Long description: Unerreicht seit über 20 Jahren Wer für die gute Sache kämpft, weiß, dass die Unterstützung aus öffentlicher Hand nie ausreicht. Wohltätigkeitsorganisationen, Vereine und gemeinnützige Initiativen sind auf Spender und Förderer angewiesen. Doch wie findet man diese? Welche ethischen und juristischen Fallstricke sind zu beachten? Und wie funktioniert Fundraising im digitalen Zeitalter? All diese Fragen beantwortet das ausführlichste Handbuch zum Thema, das erstmals mit E-Book inside ausgestattet ist für noch mehr Lesekomfort. Das beste und ausführlichste Handbuch zum Thema Fundraising Medienspiegel des Instituts der Deutschen Wirtschaft Umfassendes Nachschlagewerk und praxisnahes How-to-Buch. Socialnet.de Biographical note: Marita Haibach ist Beraterin für Organisationsentwicklung und Fundraising. Sie war am Aufbau des Deutschen Fundraising Verbands beteiligt und ist Mitinitiatorin der Fundraising Akademie sowie der European Fundraising Association (EFA). 2009 erhielt sie das Bundesverdienstkreuz 1. Klasse und 2010 den Deutschen Fundraising Preis.
Förderung --- Spende --- Stiftung --- Sponsoring --- Geldgeber --- Sponsoren --- Fundraising --- Foundation --- Sponsorship
Choose an application
In this current social and economic context, 4WINGS Foundation, a young family foundation of public utility, was founded by four branches of the same family with the aim of acting together to fight against precariousness in Belgium. Through personalized accompaniment, networking, and various forms of support and financing for sustained projects, 4WINGS would like to evaluate the real impact of its support activities. This thesis aims to contribute to the construction of an impact analysis methodology for the Foundation in order to manage and verify the Foundation’s the social impact. Firstly, after a brief introduction, the methodology applied in this thesis will be discussed. Then on, the first part of this project thesis will aim to form a theoretical groundwork on the ways that social impact evaluation is carried out through the Belgian foundations, Venture Philanthropy and philanthropy. The proposed method for impact analysis is carried out in four distinct steps, taking into account stakeholders throughout the process. This evaluation clarifies the desired reasons and objectives of the measurement, identifies the strategies needed to be subsequently interpret the data collected and reports them to the target audience. Secondly, this thesis will focus on the case analysis of 4WINGS Foundation and the impact generated by the support for organizations that innovate in the fight against precariousness, with a descriptive part and an analytical part. The results of the evaluation will be presented as a way to propose recommendations and that can build long-term impact management. Finally, the last part will discuss chapter “Sustainable Ethics Development” which raises some ethical issues in philanthropy and the main limitations of social impact evaluation. Then, the conclusion of this thesis brings light to the challenge of studying the impact of the Foundation.
Listing 1 - 10 of 47 | << page >> |
Sort by
|