Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Safari, an O’Reilly Media Company.
  • General works  (2)
  • Geography  (1)
Datasource
Material
Language
Years
Subjects(RVK)
  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : mitp Verlag | Boston, MA : Safari
    ISBN: 9783747503768
    Language: English , German
    Pages: 1 online resource (144 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Herbst, Sabine Urban Lettering
    RVK:
    Keywords: Electronic books
    Abstract: Spannende Schriften in der Großstadt entdecken Eigene Alphabete aus vorhandenen Schriftzügen entwickeln Mit zahlreichen Beispielen, Anleitungen und Alphabeten Dieses Buch richtet sich an alle, die sich für Handlettering, Typografie und den kreativen Umgang mit Schrift interessieren und dafür neue Inspiration im städtischen Umfeld suchen. Urban Lettering bedeutet, außergewöhnliche Schriftzüge in der Großstadt zu entdecken, nachzuzeichnen, neue Alphabete aus den Fundstücken zu gestalten und diese kreativ für eigene Letterings einzusetzen. Eine spannende Schrift kann aber auch dazu inspirieren, z.B. ein Logo zu entwerfen oder diese für eine Zeichnung zu verwenden. In 17 Schrift-Projekten nimmt dich die Autorin mit auf eine Reise durch die Großstadt. In diesem Buch findest du Fotografien von ungewöhnlichen und ausgefallenen Schriftzügen aus Köln, Amsterdam, New York und Oslo. Anhand dieser Beispiele zeigt Sabine Herbst mit vielen Praxisanleitungen, wie aus einem fotografierten Schriftzug Skizzen entstehen und sich daraus vollständige Alphabete entwickeln lassen. Du kannst die Beispiele und Alphabete aus dem Buch für deine eigenen Letterings und andere kreative Schriftprojekte weiterverwenden. Zugleich wirst du dazu motiviert, mit offenen Augen durch die Stadt zu gehen und selbst neue Schriftzüge für dich zu entdecken. So erhältst du mit diesem Buch viel Inspiration für deine eigenen kreativen Ideen.
    Note: Online resource; Title from title page (viewed November 21, 2021) , Mode of access: World Wide Web.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    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
    RVK:
    RVK:
    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.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Tantor Media, Inc. | Boston, MA : Safari
    ISBN: 9781452621814
    Language: English
    Pages: 1 online resource (27185 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Pariser, Eli, 1980 - The filter bubble
    Parallel Title: Erscheint auch als Pariser, Eli, 1980 - The filter bubble
    DDC: 004.678
    RVK:
    RVK:
    RVK:
    Keywords: Audiobooks ; Internet ; Internet ; Social aspects ; Invisible Web ; Internet ; Censorship ; Web search engines ; Target marketing ; Selective dissemination of information ; Infomediaries ; Influence ; Online information services industry ; Political activity ; Internet ; Informationsfilterung ; Soziologie ; Filter
    Abstract: In December 2009, Google began customizing its search results for each user. Instead of giving you the most broadly popular result, Google now tries to predict what you are most likely to click on. According to MoveOn.org board president Eli Pariser, Google's change in policy is symptomatic of the most significant shift to take place on the Web in recent years-the rise of personalization. In this groundbreaking investigation of the new hidden Web, Pariser uncovers how this growing trend threatens to control how we consume and share information as a society-and reveals what we can do about it. Though the phenomenon has gone largely undetected until now, personalized filters are sweeping the Web, creating individual universes of information for each of us. Facebook-the primary news source for an increasing number of Americans-prioritizes the links it believes will appeal to you so that if you are a liberal, you can expect to see only progressive links. Even an old-media bastion like The Washington Post devotes the top of its home page to a news feed with the links your Facebook friends are sharing. Behind the scenes, a burgeoning industry of data companies is tracking your personal information to sell to advertisers, from your political leanings to the color you painted your living room to the hiking boots you just browsed on Zappos. In a personalized world, we will increasingly be typed and fed only news that is pleasant, familiar, and confirms our beliefs-and because these filters are invisible, we won't know what is being hidden from us. Our past interests will determine what we are exposed to in the future, leaving less room for the unexpected encounters that spark creativity, innovation, and the democratic exchange of ideas. While we all worry that the Internet is eroding privacy or shrinking our attention spans, Pariser uncovers a more pernicious and far-reaching trend and shows how we can-and must-change course. With vivid detail and remarkable scope, The Filter Bubble reveals how personalization undermines the Internet's original purpose as an open platform for the spread of ideas and could leave us all in an isolated, echoing world.
    Note: Online resource; Title from title page (viewed May 12, 2011) , Mode of access: World Wide Web.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...