This special first edition will have striking cover effects, beautiful interior cover art, and stenciled edges! A competitive diver and an ace swimmer jump into forbidden waters in this steamy college romance from the New York Times bestselling author of The Love Hypothesis. Scarlett Vandermeer is swimming upstream. A Junior at Stanford and a student-athlete who specializes in ...(展开全部)

Deep Learning ist eine Form des Machine Learnings, die Computer in die Lage versetzt, aus Erfahrungen zu lernen und so die Welt als miteinander verbundene Ansammlung von hierarchischen Konzepten zu begreifen. Da der Computer Wissen aus der eigenen Erfahrung sammelt, muss kein Mensch mehr alle benötigten Kenntnisse formal eingeben. Die Hierarchie der Konzepte ermöglicht dem Comp...(展开全部)

Challenging the basic assumptions of a meat-eating society, Deep Vegetarianism is a spirited and compelling defense of a vegetarian lifestyle.

远藤周作（Endo Shusaku，1923-1996） 日本著名作家，日本信仰文学的先驱，作品中渗透着关于生命、人生、社会、文化、历史的浓厚思考和沉重追问，在日本现当代文学史上有着承前启后的枢纽地位，代表了日本20世纪文学的最高水平。 出生于东京一个天主教家庭，10岁时接受洗礼，深受天主教思想的影响。1954年，处女作《到雅典》初试啼声，正式登上日本文坛；次年，短篇小说《白人》荣获芥川文学奖；1958年，长篇小说《海和毒药》荣获新潮文学奖和每日出版文化奖；1966年，代表作家创作高峰的巨著《沉默》出版，掀起巨大反响……1993年，作家最后的巨作《深河》隆重出版，迅速被翻译成13种语言译介到亚洲与欧美，引起专家、读者和媒体的如潮好评，被誉为“代表日本20世纪文学高峰”。1995年，因一生巨大的文化影响被授予日本文化勋章，次年病逝于东京。临终之前特嘱亲...(展开全部)

弗兰茨·奥本海默（英语：Franz Oppenheimer，1864年3月30日－1943年9月30日），生于柏林，死于加州洛杉矶，德国犹太社会学家，政治经济学家，出版的作品涉及主权国家的基本社会理念。 在弗雷堡和柏林学习了医学后，奥本海姆在1886至1895年间在柏林行医。自1890年以后，他开始倾向于研究社会政治学和社会经济学问题。在结束医生生涯后，他成为了《上午世界》（Welt am Morgen）杂志的主编，在这里结识了弗雷德里克·瑙曼，当时瑙曼还在替不同的报社挨家挨户送报纸。 1909年，奥本海姆凭借一篇论述经济学家大卫·李嘉图的论文获得了基尔大学的博士学位。自1909年至1917年，奥本海姆在柏林先是做无薪讲师，然后做了两年挂名教授。在1914年他成了“解放俄国犹太人德国委员会”组织的联合创始人之一。1919年他接受了法兰克福的约翰-沃尔...(展开全部)

This is the 1908 book that started it all in the 20th century, the book that kicked off a century of anti-state, pro-property writing. This was the prototype for Nock's writing, for Chodorov's work, and even the theoretical edifice that later became Rothbardianism. Indeed, Franz Oppenheimer wrote what remains one of the most bracing and stimulating volumes in the history of pol...(展开全部)

Aspiring data scientists and machine learning experts who have limited or no exposure to deep learning will find this book to be very useful. If you are looking for a resource that gets you up and running with the fundamentals of deep learning and neural networks, this book is for you. As the models in the book are trained using the popular Python-based libraries such as Tensorflow and Keras, it would be useful to have sound programming knowledge of Python.

An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice. Deep learning is a fast-moving field with sweeping relevance in today's increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics alon...(展开全部)

This book is for Data Science practitioners as well as aspirants who have a basic foundational understanding of Machine Learning concepts and some programming experience with Python. A mathematical background with a conceptual understanding of calculus and statistics is also desired.