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AI collection! "Deep learning" Chinese version of the book listed!
AI collection! "Deep learning" Chinese version of the book listed!
Three years ago, in May 2014, a translator's long-term cooperation with us, and told the editor of an information, deep learning circles to the book YoshuaBengio! From the personal web page of the web site of University of Montreal, Canada, we see that the first book in depth learning, "flower book", is impressively.
Deep learning was the hottest foreign machine learning technology, mainly used to handle large data, the domestic and foreign Internet giants like Google, Facebook and Baidu in the development of this technology, and achieved good results. Although this book was only the author wrote a draft (Draft), but the internal communication, external version of the book with our many years of experience, feel this book is a book, after the development has also proved this point, but still greatly exceeded our expectations, because of who did not expect deep learning after AlphaGo can Huobian global, Huobian industries.
Immediately, we contacted the author for the first time and contacted the copyright department of MIT Publishing House (publisher of English book). After the exchange, that the original book to determine the date of publication before the formal signing of the contract.
And then there's a long wait. More than a year has passed. It's time for October 19, 2015. Our colleagues in charge of copyright cooperation excitedly informed us that foreign contracts have been sent by registered airmail and have been settled!
Nearly a year and a half of waiting time, and finally to a good result. With the circumstances, the "flower book" in the editorial staff of the intensive and meticulous farming was finally published in July 2017, which lasted three years, is not easy.
The origin of "flower book"
The Central Park azalea trails Ambrosi (danielambrosi.com) offered by artist Daniel. On the Ambrosi's 100 million pixel panorama, apply Joseph Smarr (Google) and Chirs Lamb (NVIDIA) to the modified Google
Open source DeepDream, Daniel Ambrosi "created a mirage". From this, "flower book" produced.
Editorial recommendation:
AI Bible Deep Learning Chinese version
Deep study areas; a cornerstone of the classic bestseller
Long term top of Amazon AI and machine learning books in the United States
Tesla CEO Elon Musk recommended many experts at home and abroad
A brief introduction to flower books
Deep learning is a branch of machine learning that enables computers to learn experience and understand the world through hierarchical concepts. Since the computer can acquire knowledge from experience, it is not necessary for humans to formally define all the knowledge the computer needs. Hierarchical concepts allow computers to learn complex concepts by constructing simple concepts, and these hierarchical graph structures will have very deep layers. This book will introduce many subjects in the field of deep learning.
"Flower book" includes the background knowledge of mathematics and related concepts, including linear algebra, probability theory, information theory, numerical optimization, and machine learning. At the same time, it also introduces the practice used in deep learning technology industry, including the depth of feedforward network, regularization and optimization algorithm for convolutional network, sequence modeling and practice method, and research the applications such as Natural Language Processing, speech recognition, computer vision, in line recommended biological information system, and the video game. Finally, the book also provides some research directions, theoretical topics covered include linear factor model, since the encoder, said study, model, Monte Carlo method, structured probability partition function, near inference and depth generated model.
"Deep learning" ("book") can be used for undergraduate or graduate students planning their career in academia or industry, is also suitable for hope began to use deep learning technology in a variety of products or on the platform of software engineer. The author provides additional information to readers and teachers on the supporting website of this book.
Big coffee recommendation
Heavy pound "deep learning", written by three experts in the field, is the only comprehensive book. It provides a wide range of perspectives and basic mathematical knowledge for software engineers and students who are entering the field, and can also provide a reference for researchers.
- co chair of OpenAI, co-founder and CEO of Tesla and SpaceX, Elon Musk
This is an authoritative textbook for intensive learning, written by the main contributors of the field. The book is clear, comprehensive and authoritative. Read this book, you can know the origin of deep learning, its advantages as well as its future.
- Honorary Professor of University of Toronto, Google, distinguished research scientist, GeoffreyHinton
For the last ten years, depth learning has become a global technology. Students, practitioners, and teachers need such a textbook that contains basic concepts, practical methods and advanced research topics. This is the first comprehensive textbook in the field of intensive learning, written by several of the most creative and prolific researchers. This book will be a reference book for the next few years.
- director of the Facebook AI Institute, Professor of computer science, data science and neuroscience at New York University, Yann, LeCun
AI bible! This book is a must for all data scientists and machine learning practitioners to take a foothold in this rapidly growing next generation of Technology