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  • MPI Ethno. Forsch.  (5)
  • DNB
  • Electronic books ; local
  • Geography  (4)
  • Physics  (1)
  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484253649
    Language: English
    Pages: 1 online resource (316 pages)
    Edition: 2nd edition
    Parallel Title: Erscheint auch als Ketkar, Nikhil Deep learning with Python
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    Keywords: Electronic books ; local ; Electronic books ; Deep learning ; Python ; PyTorch
    Abstract: Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook’s Artificial Intelligence Research Group. You'll start with a perspective on how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems. Next, the book will ground you with the mathematical fundamentals of linear algebra, vector calculus, probability and optimization. Having established this foundation, you'll move on to key components and functionality of PyTorch including layers, loss functions and optimization algorithms. You'll also gain an understanding of Graphical Processing Unit (GPU) based computation, which is essential for training deep learning models. All the key architectures in deep learning are covered, including feedforward networks, convolution neural networks, recurrent neural networks, long short-term memory networks, autoencoders and generative adversarial networks. Backed by a number of tricks of the trade for training and optimizing deep learning models, this edition of Deep Learning with Python explains the best practices in taking these models to production with PyTorch. What You'll Learn Review machine learning fundamentals such as overfitting, underfitting, and regularization. Understand deep learning fundamentals such as feed-forward networks, convolution neural networks, recurrent neural networks, automatic differentiation, and stochastic gradient descent. Apply in-depth linear algebra with PyTorch Explore PyTorch fundamentals and its building blocks Work with tuning and optimizing models Who This Book Is For Beginners with a working knowledge of Python who want to understand Deep Learning in a practical, hands-on manner.
    Note: Online resource; Title from title page (viewed April 9, 2021) , Mode of access: World Wide Web.
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  • 2
    ISBN: 9781784398811 , 1784398810
    Language: English
    Pages: 1 online resource (1 volume) , illustrations, maps.
    Series Statement: Community experience distilled
    DDC: 910.285
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    Keywords: ArcGIS ; Geographic information systems ; Programming ; Spatial data infrastructures ; JavaScript (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Transform maps and raw data into full-fledged web mapping applications using the power of the ArcGIS JavaScript API and JavaScript libraries About This Book Create and share modern map applications for desktops, tablets, and mobile browsers Present and edit geographic and related data through maps, charts, graphs, and more Learn the tools, tips, and tricks made available through the API and related libraries with examples of real-world applications Who This Book Is For This book is intended for intermediate developers who want to design web mapping applications. You should have some experience with geographic information systems, especially with ArcGIS products such as ArcGIS Server. It also helps to have some experience with HTML, CSS, and JavaScript. What You Will Learn Create single-page mapping applications, lining up data from different sources Search for and display geographic and tabular information based on locations and attributes Customize maps and widgets to deliver the best user experience Present location data intuitively using charts and graphs Integrate mapping applications with your favorite JavaScript frameworks Test the working of your web map application and take advantage of cloud services such as ArcGIS Online Create modern-looking web maps through styling tips and tricks In Detail ESRI and its ArcGIS line of software have been an industry leader in digital map production and publication for over 30 years. ArcGIS Server lets you design, configure, and publish maps that can be viewed and edited through the Internet. After designing basic maps, you may want to find out new and innovative ways to represent information using these maps. In this book, you'll work through practical examples, experiencing the pitfalls and successes of creating desktop and mobile map applications for a web browser using the ArcGIS Server platform. The book begins by introducing you to ArcGIS Server and ESRI's JavaScript API. You'll work with your first web map and then move on to learn about ESRI's building blocks. A Dojo AMS style widget will help you create your own widgets for a map and then see how to collect geographic data. Furthermore, you will learn different techniques such as using Dojo Charts to create charts and graphs to represent your data. Then you will see how to use ESRI JavaScript API with other JavaScript libraries and different styling methods to make your map stand out. By the end of the book, you will discover how to make you...
    Note: Includes index. - Description based on online resource; title from cover page (Safari, viewed October 15, 2015)
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  • 3
    ISBN: 9781785281259 , 1785281259
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Edition: Second edition.
    Series Statement: Quick answers to common problems
    DDC: 004.120934589
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    Keywords: ArcGIS ; Geographic information systems ; Geospatial data ; Automation ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Over 85 hands-on recipes to teach you how to automate your ArcGIS for Desktop geoprocessing tasks using Python In Detail The book kicks off with the fundamentals of starting to use Python with ArcGIS, followed by recipes on managing map documents and layers, including how to find and fix broken data links in these files. In the second part of the book, you will learn to create custom geoprocessing tools and how to use the Attribute and Location tools to select specific features. The third part of the book covers topics for advanced users including the REST API, and also teaches you how to use Python with ArcGIS Pro. The book finishes with appendices covering how to automate Python scripts, and the five things that should be at the back of every GIS programmer's mind. What You Will Learn Manage your map document files, layer files, feature classes, and tables Programmatically update layer properties and symbology Find and fix broken data links in your map document files Automate map production, printing, and the creation of PDF map books Develop custom geoprocessing tools that can be shared with others Query and select data from feature classes and tables Create new feature classes or tables and add, update, and delete records Customize the ArcGIS for Desktop interface with Python add-ins
    Note: Includes index. - Description based on online resource; title from cover page (Safari, viewed January 6, 2016)
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  • 4
    ISBN: 9781783287703 , 1783287705
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Series Statement: Community experience distilled
    DDC: 004.6186
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    Keywords: Digital mapping ; World Wide Web ; Geographic information systems ; Electronic books ; Electronic books ; local
    Abstract: A holistic guide to implementing a robust, scalable, and secure Enterprise Geospatial Data Hosting System by leveraging the power of GeoServer In Detail Whether you have used GeoServer before or are just starting out with it, this book will give you the skills and knowledge to unlock the value of your spatial information and deliver great looking maps. This book will take you on a journey from installing GeoServer in a production environment through to securing and optimizing it so it's ready for use. Along the way, you will learn how to optimize your raster data for efficient delivery, exploit data stored in a spatial database, style data to create great looking maps, use GeoServer as a proxy, create scripts to perform spatial analysis, and monitor the health of your server. Consequently, if you are looking to unlock the potential of GeoServer to deliver powerful desktop and mobile web mapping solutions that exploit spatial and location-based data, the tutorials inside this book will meet your needs for a detailed solution. What You Will Learn Install GeoServer in a production environment to make it robust and scalable Optimize and exploit your vector and raster datasets from a range of data storage options Serve data that conforms to complex schemas Utilize proxy data requests to enhance server capabilities or secure data services Create great looking maps through alternative approaches for styling and web printing services Exploit the spatial analysis capabilities of GeoServer through scripting Integrate GeoServer in your corporate security mechanisms Monitor the performance and health of your GeoServer instance and optimize it for the production phase
    Note: Includes index. - Description based on online resource; title from cover (Safari, viewed December 17, 2014)
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  • 5
    Online Resource
    Online Resource
    San Diego, CA : Academic Press
    ISBN: 9780080491783 , 0080491782
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Edition: 2nd ed.
    Parallel Title: Erscheint auch als
    DDC: 621.3815/2
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    Keywords: Thin films ; Electronic books ; Electronic books ; local ; Electronic books. ; Electronic books ; Electronic books. ; Electronic books
    Abstract: This is the first book that can be considered a textbook on thin film science, complete with exercises at the end of each chapter. Ohring has contributed many highly regarded reference books to the AP list, including Reliability and Failure of Electronic Materials and the Engineering Science of Thin Films . The knowledge base is intended for science and engineering students in advanced undergraduate or first-year graduate level courses on thin films and scientists and engineers who are entering or require an overview of the field. Since 1992, when the book was first published, the field of thin films has expanded tremendously, especially with regard to technological applications. The second edition will bring the book up-to-date with regard to these advances. Most chapters have been greatly updated, and several new chapters have been added.
    Note: Includes bibliographical references and index. - Description based on print version record
    URL: Volltext  (Deutschlandweit zugänglich)
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