彼得·门德尔桑德（Peter Mendelsund） 世界知名书籍装帧设计师、作家、古典钢琴演奏家。毕业于美国哥伦比亚大学文学与哲学专业，是《大西洋月刊》的创意总监，曾担任美国克诺夫出版社艺术副总监、万神殿书局艺术总监。他操刀的封面有《情人》、卡夫卡作品系列、卡尔维诺作品系列等。 《纽约时报》称他为“如今活跃着的最顶尖的设计师”。《华尔街日报》称他的作品为“当代小说封面中最具辨识度与代表性的设计”。

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)

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)

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)

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.

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)

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.

Most applications, even the funky cloud-native microservices ones, need high-performance, production-grade infrastructure to run on. Having impeccable knowledge of Docker will help you to thrive in the modern cloud-first world. With this book, you’ll gain the skills you need to work with Docker and its containers. The book begins with an introduction to containers and explains ...(展开全部)