Kenneth Graham – författare

Today, debates about the cultural role of the humanities and the arts are roiling. Responding to renewed calls to reassess the prominence of canonical writers, Shakespeare On Stage and Off introduces new perspectives on why and how William Shakespeare still matters. Lively and accessible, the book considers what it means to play, work, and live with Shakespeare in the twenty-first century. Contributors - including Antoni Cimolino, artistic director of the Stratford Festival - engage with contemporary stagings of the plays, from a Trump-like Julius Caesar in New York City to a black Iago in Stratford-upon-Avon and a female Hamlet on the Toronto stage, and explore the effect of performance practices on understandings of identity, death, love, race, gender, class, and culture. Providing an original approach to thinking about Shakespeare, some essays ask how the knowledge and skills associated with working lives can illuminate the playwright''s works. Other essays look at ways of interacting with Shakespeare in the digital age, from Shakespearean resonances in Star Trek and Indian films to live broadcasts of theatre performances, social media, and online instructional tools. Together, the essays in this volume speak to how Shakespeare continues to enrich contemporary culture. A timely guide to the ongoing importance of Shakespearean drama, Shakespeare On Stage and Off surveys recent developments in performance, adaptation, popular culture, and education. Contributors include Russell J. Bodi (Owens State Community College), Christie Carson (Royal Holloway University of London), Brandon Christopher (University of Winnipeg), Antoni Cimolino (Stratford Festival), Jacob Claflin (College of Eastern Idaho), Lauren Eriks Cline (University of Michigan), David B. Goldstein (York University), Gina Hausknecht (Coe College), Peter Holland (University of Notre Dame), R.W. Jones (University of Texas), Christina Luckyj (Dalhousie University), Julia Reinhard Lupton (University of California, Irvine), Linda McJannet (Bentley University), Roderick H. McKeown (University of Toronto), Hayley O''Malley (University of Michigan), Amrita Sen (University of Calcutta), Eric Spencer (The College of Idaho), Lisa S. Starks (University of South Florida St Petersburg), and Jeffrey R. Wilson (Harvard University).

Today, debates about the cultural role of the humanities and the arts are roiling. Responding to renewed calls to reassess the prominence of canonical writers, Shakespeare On Stage and Off introduces new perspectives on why and how William Shakespeare still matters. Lively and accessible, the book considers what it means to play, work, and live with Shakespeare in the twenty-first century. Contributors - including Antoni Cimolino, artistic director of the Stratford Festival - engage with contemporary stagings of the plays, from a Trump-like Julius Caesar in New York City to a black Iago in Stratford-upon-Avon and a female Hamlet on the Toronto stage, and explore the effect of performance practices on understandings of identity, death, love, race, gender, class, and culture. Providing an original approach to thinking about Shakespeare, some essays ask how the knowledge and skills associated with working lives can illuminate the playwright''s works. Other essays look at ways of interacting with Shakespeare in the digital age, from Shakespearean resonances in Star Trek and Indian films to live broadcasts of theatre performances, social media, and online instructional tools. Together, the essays in this volume speak to how Shakespeare continues to enrich contemporary culture. A timely guide to the ongoing importance of Shakespearean drama, Shakespeare On Stage and Off surveys recent developments in performance, adaptation, popular culture, and education. Contributors include Russell J. Bodi (Owens State Community College), Christie Carson (Royal Holloway University of London), Brandon Christopher (University of Winnipeg), Antoni Cimolino (Stratford Festival), Jacob Claflin (College of Eastern Idaho), Lauren Eriks Cline (University of Michigan), David B. Goldstein (York University), Gina Hausknecht (Coe College), Peter Holland (University of Notre Dame), R.W. Jones (University of Texas), Christina Luckyj (Dalhousie University), Julia Reinhard Lupton (University of California, Irvine), Linda McJannet (Bentley University), Roderick H. McKeown (University of Toronto), Hayley O''Malley (University of Michigan), Amrita Sen (University of Calcutta), Eric Spencer (The College of Idaho), Lisa S. Starks (University of South Florida St Petersburg), and Jeffrey R. Wilson (Harvard University).

This comprehensive account of the writing life of Henry James aims at providing a critical overview of all his important writings, firmly set in two contexts: that of James's practical career as a novelist in America, England, and Europe; and that of the literary and intellectual climate of his time. By tracing the complex development of his career under such headings as 'American and Romantic', 'Victorian and Realist', 'Crisis and Experiment' and 'Master and Modernist', it gives a dynamic portrait, both factual and interpretative, of one of the greatest and most prolific novelists in the language, whose many-sided career began in the time of Thackeray and Dickens, and ended by ushering in the writings of Joyce and Woolf.

Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers.Key Features:A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers.60+ transformer architectures covered in a comprehensive manner.A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision.Practical tips and tricks for each architecture and how to use it in the real world.Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab.The theoretical explanations of the state-of-the-art transformer architectures will appeal to postgraduate students and researchers (academic and industry) as it will provide a single entry point with deep discussions of a quickly moving field. The practical hands-on case studies and code will appeal to undergraduate students, practitioners, and professionals as it allows for quick experimentation and lowers the barrier to entry into the field.

Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers.Key Features:A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers.60+ transformer architectures covered in a comprehensive manner.A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision.Practical tips and tricks for each architecture and how to use it in the real world.Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab.The theoretical explanations of the state-of-the-art transformer architectures will appeal to postgraduate students and researchers (academic and industry) as it will provide a single entry point with deep discussions of a quickly moving field. The practical hands-on case studies and code will appeal to undergraduate students, practitioners, and professionals as it allows for quick experimentation and lowers the barrier to entry into the field.

By 'indirections', Kenneth Graham means 'the deployment of a radically new openness, obliquity, and contradictoriness of narrative forms, both in the large-scale movements and in the smallest details of descriptive language, scene, and dialogue'. The three masters of indirection in the early modern novel are Henry James, Joseph Conrad and E. M. Forster. Though very different from each other, each employs a technically innovative style which articulates a response to a world of uncertainty and danger. Professor Graham's study follows this common outlook through analyses of eleven narratives including James' What Maisie Knew and The Golden Bowl, Conrad's Heart of Darkness and Nostromo, and Forster's Howards End and A Passage to India. It does so in an empirical critical idiom which seeks to combine textual awareness with a concern for referentiality and for a common language of literary response.

Today, debates about the cultural role of the humanities and the arts are roiling. Responding to renewed calls to reassess the prominence of canonical writers, Shakespeare On Stage and Off introduces new perspectives on why and how William Shakespeare still matters. Lively and accessible, the book considers what it means to play, work, and live with Shakespeare in the twenty-first century. Contributors - including Antoni Cimolino, artistic director of the Stratford Festival - engage with contemporary stagings of the plays, from a Trump-like Julius Caesar in New York City to a black Iago in Stratford-upon-Avon and a female Hamlet on the Toronto stage, and explore the effect of performance practices on understandings of identity, death, love, race, gender, class, and culture. Providing an original approach to thinking about Shakespeare, some essays ask how the knowledge and skills associated with working lives can illuminate the playwright's works. Other essays look at ways of interacting with Shakespeare in the digital age, from Shakespearean resonances in Star Trek and Indian films to live broadcasts of theatre performances, social media, and online instructional tools. Together, the essays in this volume speak to how Shakespeare continues to enrich contemporary culture. A timely guide to the ongoing importance of Shakespearean drama, Shakespeare On Stage and Off surveys recent developments in performance, adaptation, popular culture, and education. Contributors include Russell J. Bodi (Owens State Community College), Christie Carson (Royal Holloway University of London), Brandon Christopher (University of Winnipeg), Antoni Cimolino (Stratford Festival), Jacob Claflin (College of Eastern Idaho), Lauren Eriks Cline (University of Michigan), David B. Goldstein (York University), Gina Hausknecht (Coe College), Peter Holland (University of Notre Dame), R.W. Jones (University of Texas), Christina Luckyj (Dalhousie University), Julia Reinhard Lupton (University of California, Irvine), Linda McJannet (Bentley University), Roderick H. McKeown (University of Toronto), Hayley O'Malley (University of Michigan), Amrita Sen (University of Calcutta), Eric Spencer (The College of Idaho), Lisa S. Starks (University of South Florida St Petersburg), and Jeffrey R. Wilson (Harvard University).

Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers.

Key Features:

A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers. 60+ transformer architectures covered in a comprehensive manner. A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision. Practical tips and tricks for each architecture and how to use it in the real world. Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab.

The theoretical explanations of the state-of-the-art transformer architectures will appeal to postgraduate students and researchers (academic and industry) as it will provide a single entry point with deep discussions of a quickly moving field. The practical hands-on case studies and code will appeal to undergraduate students, practitioners, and professionals as it allows for quick experimentation and lowers the barrier to entry into the field.

Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers.

Key Features:

A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers. 60+ transformer architectures covered in a comprehensive manner. A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision. Practical tips and tricks for each architecture and how to use it in the real world. Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab.

The theoretical explanations of the state-of-the-art transformer architectures will appeal to postgraduate students and researchers (academic and industry) as it will provide a single entry point with deep discussions of a quickly moving field. The practical hands-on case studies and code will appeal to undergraduate students, practitioners, and professionals as it allows for quick experimentation and lowers the barrier to entry into the field.