Style is not just the clothes on our backs—it is self-expression, representation, and transformation. As a fashion-obsessed Ojibwe teen, Christian Allaire rarely saw anyone that looked like him in the magazines or movies he sought out for inspiration. Now the Fashion and Style Writer for Vogue, he is working to change that—because clothes are never just clothes. Men’s heels are a statement of pride in the face of LGTBQ+ discrimination, while ribbon shirts honor Indigenous ancestors and keep culture alive. Allaire takes the reader through boldly designed chapters to discuss additional topics like cosplay, make up, hijabs, and hair, probing the connections between fashion and history, culture, politics, and social justice. *A Junior Library Guild Gold Standard Selection

Allaire traces the history and culture of the village from its days as a famous nineteenth-century industrial community to one of today's most popular living history museums in New Jersey. In 1822, James P. Allaire established the Howell Works, one of many bog-iron furnaces that once dotted the New Jersey Pine Barrens. Explored are the rise and fall of the industrial community, as well as the village's transition from the Allaire family to Arthur Brisbane, a famous Hearst newspaper editor. Also included are the early restoration efforts of Allaire Village and some familiar sites on the outskirts of Allaire, including Kessler Farms, Thompson's Dairy Farm, the Pine Creek Railroad, DeLisle's French Restaurant, and Allaire Airport. In 1836, more than three hundred people lived and worked at Howell Works, a self-sufficient community once complete with thirty buildings. The collapse of the bog-iron industry in the late 1840s left the village crumbling and nearly deserted by 1900. In 1907, on a leisurely drive from his Lakewood mansion, Arthur Brisbane bought Allaire Village. Revitalizing it, he created a luxurious country estate. Allaire contains images of the Allaire Inn, Brisbane's model farm, and the Boy Scouts' Camp Burton. During the 1900s, Allaire was home to the legendary Indian Joe, the Pennsylvania Railroad's doodlebugs, and Brisbane's full-time staff-the Macauley, Frostick, Service, and Reynold families.

A coaches and players guide on how to improve goaltending skills, providing a four year development plan, techniques, training methods, the role of the coach and evaluation methods for goalies.

In Folklore and Symbolism of Flowers, Plants and Trees, Ernst and Johanna Lehner explore the rich cultural heritage and symbolic meanings associated with various flora across different societies and traditions. This comprehensive guide offers insights into how these natural elements have been woven into myths, legends, and everyday life, providing readers with a deeper understanding of the interconnectedness between nature and human culture.

This book provides an introduction to the theory and numerical developments of the homogenization method. It's main features are: a comprehensive presentation of homogenization theory; an introduction to the theory of two-phase composite materials; a detailed treatment of structural optimization by using homogenization; a complete discussion of the resulting numerical algorithms with many documented test problems. It will be of interest to researchers, engineers, and advanced graduate students in applied mathematics, mechanical engineering, and structural optimization.

Summary Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples. Continue your journey into the world of deep learning with Deep Learning with R in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/deep-​learning-with-r-in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. Deep-learning systems now enable previously impossible smart applications, revolutionizing image recognition and natural-language processing, and identifying complex patterns in data. The Keras deep-learning library provides data scientists and developers working in R a state-of-the-art toolset for tackling deep-learning tasks. About the Book Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. Initially written for Python as Deep Learning with Python by Keras creator and Google AI researcher François Chollet and adapted for R by RStudio founder J. J. Allaire, this book builds your understanding of deep learning through intuitive explanations and practical examples. You'll practice your new skills with R-based applications in computer vision, natural-language processing, and generative models. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image classification and generation Deep learning for text and sequences About the Reader You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is assumed. About the Authors François Chollet is a deep-learning researcher at Google and the author of the Keras library. J.J. Allaire is the founder of RStudio and the author of the R interfaces to TensorFlow and Keras. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions