First in a series of casebooks exploring theatrical pieces from writing and design through production. Includes: Ntozake Shange's The Love Space Demands, Crossroads Theatre Co., New Brunswick, NJ; Danton's Death by Buchner, Alley Theatre, Houston; The Clytemnestra Project, based on the works of Aeschylus, Sophocles, and Euripides, Guthrie Theatre, Minneapolis; and Children of Paradise, Theatre de la Jeune Lune, Minneapolis.
The second volume in the series provides an inside view of the creative process involved in the creation of 4 major theatrical productions. Each notebook offers in diary form comprehensive histories of major artistic elements that are the center of the creative process. This volume includes: In the Blood by Suzan-Lori Parks (The Joseph Papp Public Theatre/New York Shakespeare Festival); The First Picture Show by David and Ain Gordon (Mark Taper Forum and American Conservatory Theatre), The Geography Project by Ralph Lemon (Yale Repertory Theatre) and Shakespeare Rapid Eye Movement, directed by Robert Lepage (Bayerisches Staatsschauspiel-Munich). Each notebook is profusely illustrated with production shots and/or set and costume renderings. Mark Bly is the Associate Artistic Director of the Yale Repertory Theatre.
THE PUBLISHING SENSATION OF THE YEAR FOR EVERY FILM FAN The never-before-published edition of Francis Ford Coppola’s notes and annotations on The Godfather novel by Mario Puzo reveals the story behind one of the world’s most iconic films. The most important unpublished work on one of the greatest films of all time, The Godfather, written before filming, by the man who wrote and directed it—Francis Ford Coppola, then only thirty-two years old—reveals the intense creative process that went into making this seminal film. With his meticulous notes and impressions of Mario Puzo’s novel, the notebook was referred to by Coppola daily on set while he directed the movie. The Godfather Notebook pulls back the curtain on the legendary filmmaker and the film that launched his illustrious career. Complete with an introduction by Francis Ford Coppola and exclusive photographs from on and off the set, this is a unique, beautiful, and faithful reproduction of Coppola’s original notebook. This publication will change the way the world views the iconic film—and the process of filmmaking at large. A must-have book of the season. Nothing like it has ever been published before
Meticulously edited and annotated, Tennessee Williams's notebooks follow his growth as a writer from his undergraduate days to the publication and production of his most famous plays, from his drug addiction and drunkenness to the heights of his literary accomplishments.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
From a couple racing across the top of Mount Rushmore to a woman's final shower at an isolated motel, no other filmmaker has given movie fans more unforgettable images or heart-pounding thrills than Alfred Hitchcock. Now you can share in the Master of Suspense's inspiration and development -- his entire creative process -- in Hitchcock's Notebooks. With the complete cooperation of the Hitchcock estate and access to the director's notebooks, journals, and archives, Dan Auiler takes you from the very beginnings of story creation to the master's final touches during post-production and publicity. Actual production notes from Hitchcock's masterpieces join detailed interviews with key production personnel, including writers, actors and actresses, and Hitchcock's personal assistant of more than thirty years. Mirroring the director's working methods to give you the actual feel of his process, and highlighted by nearly nearly one hundred photographs and illustrations, this is the definitive guide into the mind of a cinematic legend.
Based on the authoritative Italian edition of Gramsci's work, 'Quaderni del Carcere', this translation presents the intellectual as he ought to be read and understood.
This anthology collects 36 texts and papers from the Paul de Man archive, including essays on art and literature, translations, critical fragments, research plans, interviews, and reports on the state of comparative literature.
Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments
