A visually dynamic and extensive resource covering all sculpture media. Beginning Sculpture explores traditional sculpting methods as well as the latest tools and techniques. It covers a diverse range of media including wood, metal, stone, paper, clay and mixed media. Studios are designed to enhance student learning and nurture self-discovery. With an easy to follow format, students: * Learn the elements and principles of design and sculpture * Photographs and illustrations sequentially detail fundamental techniques and skills. * Examples of master artworks reflect diverse times and perspectives * Student create art and master concepts and skills through carefully crafted lessons

Introduction to Art: Design, Context, and Meaning offers a deep insight and comprehension of the world of Art. Contents: What is Art? The Structure of Art Significance of Materials Used in Art Describing Art - Formal Analysis, Types, and Styles of Art Meaning in Art - Socio-Cultural Contexts, Symbolism, and Iconography Connecting Art to Our Lives Form in Architecture Art and Identity Art and Power Art and Ritual Life - Symbolism of Space and Ritual Objects, Mortality, and Immortality Art and Ethics

This series is a vehicle for texts generated through the experiences of writers, scholars, and artists who have been residents at the Getty Research Institute or involved in its programs.

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

In this book, Thomas DaCosta Kaufmann chronicles more than three hundred years of painting, sculpture, and architecture in Germany, Poland, the Czech Republic, Slovakia, Hungary, Austria, Ukraine, Lithuania and western parts of the Russian Federation. Massive in scale, the book is highly accessible and lavishly illustrated. The readability of the text and the entirely new insights it provides into three hundred years of Central European history make this a vital introduction to one of the least understood periods in the history of art.