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"Das Handwerk ist eine der grossen Faszinationen der gesellschaftlichen Moderne. Das zeigt auch die Literatur, die zwar kein Handwerk ist, sich aber durchgängig mit Handwerk befasst. Nicht umsonst präsentieren literarische und ästhetische Texte seit der zweiten Hälfte des 18. Jahrhunderts auffallend häufig längst vergangene Handwerkswelten, stellen Handwerker und Handwerkerinnen dar oder diskutieren im Rückgriff auf Handwerk den Status von Literatur und vor allem die Unterscheidung zwischen 'guter' und 'schlechter' Literatur. Michael Bies untersucht diesen kontinuierlichen, in seiner Breite bislang aber nicht erfassten Bezug von Literatur auf Handwerk. In seiner komparatistisch angelegten Analyse zeigt er in Lektüren deutschsprachiger Texte der Zeit zwischen 1775 und 1950, dass Literatur entscheidend an der 'Erfindung' eines typischen modernen Handwerksbildes mitarbeitet und nicht nur moderne Arbeitsverhältnisse reflektiert, wenn sie von Handwerk handelt, sondern auch sich selbst und ihre eigenen Möglichkeiten zu erfassen sucht"--Dust jacket.

German literature --- History and criticism

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By looking at Disney from some of its many angles - the history and the persona of its founder, a selection of its films (from the blockbuster successes to the less than successful), its approaches to animation, its branding and fandom, and the ways that it has been understood and reinterpreted within popular culture - it is hoped that Discussing Disney offers its readers (and the field of Disney Studies) a more holistic understanding of a company that is arguably one of the most important forces within culture - popular or otherwise - within (so far) the Twentieth and Twenty-First Centuries.

Disney, Walt, --- Criticism and interpretation.

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"This book provides a thorough analysis of terpsichorean lexis in Renaissance drama. Besides considering not only the Shakespearean canon, but also the Bard's contemporaries (e.g. dramatists as John Marston and Ben Jonson among the most refined Renaissance dance aficionados), the originality of this volume is highlighted in both its methodology and structure. As far as methods of analysis are concerned, corpora such as the VEP Early Modern Drama collection and EEBO, and corpus analysis tools such as #LancsBox, AntConc or the Sketch Engine software are used in order to offer the widest range of examples possible from early modern plays and provide co-textual references for each dance. Examples from Renaissance playwrights are fundamental for the analysis of connotative meanings of the dances listed and their performative, poetic and metaphoric role in sixteenth- and seventeenth-century drama. This study will be of great interest to Renaissance researchers, lexicographers and dance historians"--

Shakespeare, William, --- Criticism and interpretation.

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Design and use machine learning models for music generation using Magenta and make them interact with existing music creation tools Key Features Learn how machine learning, deep learning, and reinforcement learning are used in music generation Generate new content by manipulating the source data using Magenta utilities, and train machine learning models with it Explore various Magenta projects such as Magenta Studio, MusicVAE, and NSynth Book Description The importance of machine learning (ML) in art is growing at a rapid pace due to recent advancements in the field, and Magenta is at the forefront of this innovation. With this book, you'll follow a hands-on approach to using ML models for music generation, learning how to integrate them into an existing music production workflow. Complete with practical examples and explanations of the theoretical background required to understand the underlying technologies, this book is the perfect starting point to begin exploring music generation. The book will help you learn how to use the models in Magenta for generating percussion sequences, monophonic and polyphonic melodies in MIDI, and instrument sounds in raw audio. Through practical examples and in-depth explanations, you'll understand ML models such as RNNs, VAEs, and GANs. Using this knowledge, you'll create and train your own models for advanced music generation use cases, along with preparing new datasets. Finally, you'll get to grips with integrating Magenta with other technologies, such as digital audio workstations (DAWs), and using Magenta.js to distribute music generation apps in the browser. By the end of this book, you'll be well-versed with Magenta and have developed the skills you need to use ML models for music generation in your own style. What you will learn Use RNN models in Magenta to generate MIDI percussion, and monophonic and polyphonic sequences Use WaveNet and GAN models to generate instrument notes in the form of raw audio Employ Variational Autoencoder models like MusicVAE and GrooVAE to sample, interpolate, and humanize existing sequences Prepare and create your dataset on specific styles and instruments Train your network on your personal datasets and fix problems when training networks Apply MIDI to synchronize Magenta with existing music production tools like DAWs Who this book is for This book is for technically inclined artists and musically inclined computer scientists. Readers who want to get hands-on with building...

Machine learning. --- Computer music --- History and criticism.

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Amartya Sen’s Inequality Re-examined is a seminal text setting out a theory to evaluate social arrangements and inequality. By asking the question, ‘equality of what’?, Sen shows that (in)equality should be assessed as human freedom; for people to have the ability to pursue and achieve goals they value or have reason to value.The text lays out the fundamental ideas to Amartya Sen’s Capability Approach. This approach is celebrated in diverse academic disciplines because of its specific contribution towards the improvement to debates on inequality beyond economic deprivation and utility measures. Furthermore, the arguments put forward by Sen in Inequality Re-examined has had many practical applications throughout policy circles including the Human Development Index, the Multi –Dimensional Poverty Measure, the compilation of lists of capabilities and drawing further attention to human agency and democracy. Amartya Sen won the Nobel Prize for Economics in 1998 for his contribution to welfare economics; the core arguments of this work is found in this book.

Welfare economics. --- Sen, Amartya, --- Criticism and interpretation.