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The name of the town of Murrayfield changed to Chester on February 21, 1783.
Southern Berkshire County in Western Massachusetts is a magical place. Some call it paradise. The special synergy that exists here between people and place has inspired remarkable residents for centuries. From Mohican John Konkapot to African American W.E.B. Du Bois, from novelist Catharine Sedgwick to mental health pioneer Agnes Gould, the Housatonic Valley and surrounding hills have proved to be a haven for inventors and industrialists, artists and activists, entrepreneurs, and educators. Stockbridge summer resident and legendary sculptor Daniel Chester French once said to a New York reporter, "I spend six months of the year up there, it is heaven." William Cullen Bryant, Norman Rockwell, Cyrus Field, William Stanley, Elizabeth Freeman (Mumbet), Laura Ingersoll Secord, and numerous other luminaries have all passed on to a different heavenly plane. Still, the Southern Berkshires continue to produce local legends and unsung heroes--folks like community activist Rachel Fletcher, Pastor Charles Van Ausdall, educator Mae Brown, and police chief Rick Wilcox. Open the pages of Legendary Locals of the Southern Berkshires and see for yourself!
How can machine learning--especially deep neural networks--make a real difference in your organization? This hands-on guide not only provides practical information, but helps you get started building efficient deep learning networks. The authors provide the fundamentals of deep learning--tuning, parallelization, vectorization, and building pipelines--that are valid for any library before introducing the open source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J.
Summary Taming Text, winner of the 2013 Jolt Awards for Productivity, is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. The book guides you through examples illustrating each of these topics, as well as the foundations upon which they are built. About this Book There is so much text in our lives, we are practically drowningin it. Fortunately, there are innovative tools and techniquesfor managing unstructured information that can throw thesmart dev...
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