马克·弗农，在沃里克大学（Warwick University）获得哲学博士学位，曾是英格兰圣公会的一名牧师，后来离开教会成了无神论者。现在是一名作家、新闻记者、广播人、学者，担任伦敦大学伯克贝克学院荣誉研究员、BBC电台和电视台多个节目的撰稿人。已出版的著作有：《不该说的话：人生中尴尬时刻的哲学》（What Not to Say：Philosophy for Life's Tricky Moments），《幸福》（Wellbeing），《友谊的意义》（The Meaning of Friendship），《柏拉图的播客：给现代生活的古老智慧》（Plato's Podcasts：The Ancients Guide to Modern Living）等。他的博客网站为www.phllosophyandltfe.com。

Deep learning on graphs has become one of the hottest topics in machine learning. The book consists of four parts to best accommodate our readers with diverse backgrounds and purposes of reading. Part 1 introduces basic concepts of graphs and deep learning; Part 2 discusses the most established methods from the basic to advanced settings; Part 3 presents the most typical applic...(展开全部)

"Here is the first Kant-biography in English since Paulsen's and Cassirer's only full-scale study of Kant's philosophy. On a very deep level, all of Cassirer's philosophy was based on Kant's, and accordingly this book is Cassirer's explicit coming to terms with his own historical origins. It sensitively integrates interesting facts about Kant's life with an appreciation and cri...(展开全部)

Erwin Schrodinger was a brilliant and charming Austrian, a great scientist, and a man with a passionate interest in people and ideas. In this, the first comprehensive biography of Schrodinger, Walter Moore draws upon recollections of Schrodinger's friends, family and colleagues, and on contemporary records, letters and diaries. Schrodinger's life is portrayed against the backdr...(展开全部)

Erwin Schrödinger was a brilliant and charming Austrian, a great scientist, and a man with a passionate interest in people and ideas. In this, the first comprehensive biography of Schrödinger, Walter Moore draws upon recollections of Schrödinger's friends, family and colleagues, and on contemporary records, letters and diaries. Schrödinger's life is portrayed against the backdr...(展开全部)

Recent developments in reinforcement learning (RL), combined with deep learning (DL), have seen unprecedented progress made towards training agents to solve complex problems in a human-like way. Google’s use of algorithms to play and defeat the well-known Atari arcade games has propelled the field to prominence, and researchers are generating new ideas at a rapid pace. Deep Reinforcement Learning Hands-On is a comprehensive guide to the very latest DL tools and their limitations. You will evaluate methods including Cross-entropy and policy gradients, before applying them to real-world environments. Take on both the Atari set of virtual games and family favorites such as Connect4. The book provides an introduction to the basics of RL, giving you the know-how to code intelligent learning agents to take on a formidable array of practical tasks. Discover how to implement Q-learning on ‘grid world’ environments, teach your agent to buy and trade stocks, and find out how natural language models are driving the boom in chatbots.

PyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide to doing deep learning work with Pytorch. It is not an academic textbook and does not try to teach deep learning principles. The book will help you most if you want to get your hands dirty and put PyTorch to work quickly.PyTorch Deep Learning Hands-On shows how to implement the major deep learning architectures in PyTorch. It covers neural networks, computer vision, CNNs, natural language processing (RNN), GANs, and reinforcement learning. You will also build deep learning workflows with the PyTorch framework, migrate models built in Python to highly efficient TorchScript, and deploy to production using the most sophisticated available tools.Each chapter focuses on a different area of deep learning. Chapters start with a refresher on how the model works, before sharing the code you need to implement them in PyTorch.This book is ideal if you want to rapidly add PyTorch to your deep learning toolset.

This book re-examines scrupulously the writings and the life records of John Milton, in the context of a proper understanding of the recent developments in seventeenth-century historiography. Milton's thought has often been too simply described. The approach here is to interrogate more sceptically notions like puritanism, republicanism, radicalism, and dissent. A more complex s...(展开全部)

This book re-examines scrupulously the writings and the life records of John Milton, in the context of a proper understanding of the recent developments in seventeenth-century historiography. Milton's thought has often been too simply described. The approach here is to interrogate more sceptically notions like puritanism, republicanism, radicalism, and dissent. A more complex s...(展开全部)