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Deep Learning
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concep...
Geoheritage and Geotourism Resources
This Special Issue outlines the role of geoheritage and geotourism as potential touristic resources of a region. The term “geoheritage” refers to a particular type of natural resources represented by sites of special geological significance, rarity or beauty that are representative of a region and of its geological history, events, and processes. These sites are also known as “geosites” and, as well as archaeological, architectonic, and historical sites, can be considered as part of the cultural estate of a country. “Geotourism” is an emerging type of sustainable tourism, which concentrates on geosites, focusing on visitor knowledge, environmental education, and amusement. Geotou...
The Geography of Beer
This book focuses on the geography of beer in the contexts of policies, perceptions, and place. Chapters examine topics such as government policies (e.g., taxation, legislation, regulations), how beer and beerscapes are presented and perceived (e.g., marketing, neolocalism, roles of women, use of media), and the importance of place (e.g., terroir of ingredients, social and economic impacts of beer, beer clubs). Collectively, the chapters underscore political, cultural, urban, and human-environmental geographies that underlie beer, brewing, and the beer industry.
Catalog of Copyright Entries, Third Series
The record of each copyright registration listed in the Catalog includes a description of the work copyrighted and data relating to the copyright claim (the name of the copyright claimant as given in the application for registration, the copyright date, the copyright registration number, etc.).
