Deep Learning for Coders with Fastai and Pytorch : AI Applications Without a PhD (Paperback)
暫譯: 使用 Fastai 和 Pytorch 的程式設計師深度學習：無需博士學位的 AI 應用

Gugger, Sylvain, Howard, Jeremy

Deep Learning for Coders with Fastai and Pytorch : AI Applications Without a PhD (Paperback)

買這商品的人也買了...

商品描述

Deep learning has the reputation as an exclusive domain for math PhDs. Not so. With this book, programmers comfortable with Python will learn how to get started with deep learning right away.

Using PyTorch and the fastai deep learning library, you'll learn how to train a model to accomplish a wide range of tasks--including computer vision, natural language processing, tabular data, and generative networks. At the same time, you'll dig progressively into deep learning theory so that by the end of the book you'll have a complete understanding of the math behind the library's functions.

商品描述(中文翻譯)

深度學習被認為是數學博士的專屬領域，但事實並非如此。透過這本書，熟悉 Python 的程式設計師將能夠立即開始學習深度學習。

使用 PyTorch 和 fastai 深度學習庫，您將學習如何訓練模型以完成各種任務，包括計算機視覺、自然語言處理、表格數據和生成網絡。同時，您將逐步深入了解深度學習理論，因此在書籍結束時，您將對庫函數背後的數學有完整的理解。

作者簡介

Sylvain is a former teacher and a Research Scientist at fast.ai, with a focus on making deep learning more accessible by designing and improving techniques that allow models to train fast on limited resources.

Prior to this, Sylvain wrote several books covering the entire curriculum he was teaching in France (published at Éditions Dunod) until 2015 in CPGE. CPGE are a French specific two-year program whereby handpicked students who graduated high school follow an intense preparation before sitting for the competitive exam to enter the top engineering and business schools of the country. Sylvain taught computer science and mathematics in that program for seven years.

Sylvain is an alumni from École Normale Supérieure (Paris, France) where he studied mathematics and has a Master's Degree in mathematics from University Paris XI (Orsay, France).

Jeremy Howard is an entrepreneur, business strategist, developer, and educator. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, a faculty member at Singularity University, and a Young Global Leader with the World Economic Forum.

Jeremy's most recent startup, Enlitic, was the first company to apply deep learning to medicine, and has been selected one of the world's top 50 smartest companies by MIT Tech Review two years running. He was previously the President and Chief Scientist of the data science platform Kaggle, where he was the top ranked participant in international machine learning competitions 2 years running. He was the founding CEO of two successful Australian startups (FastMail, and Optimal Decisions Group-purchased by Lexis-Nexis). Before that, he spent 8 years in management consulting, at McKinsey & Co, and AT Kearney. Jeremy has invested in, mentored, and advised many startups, and contributed to many open source projects.

He has many television and other video appearances, including as a regular guest on Australia's highest-rated breakfast news program, a popular talk on TED.com, and data science and web development tutorials and discussions.

作者簡介(中文翻譯)

Sylvain 是 fast.ai 的前教師及研究科學家，專注於透過設計和改進技術，使深度學習變得更易於接觸，讓模型能在有限資源上快速訓練。

在此之前，Sylvain 寫了幾本書，涵蓋了他在法國教授的整個課程（於 Éditions Dunod 出版），直到 2015 年在 CPGE。CPGE 是法國特有的兩年制課程，選拔的學生在高中畢業後，進行密集的準備，以參加競爭激烈的考試，進入該國頂尖的工程和商學院。Sylvain 在該課程中教授計算機科學和數學七年。

Sylvain 是 École Normale Supérieure（法國巴黎）的校友，主修數學，並擁有法國巴黎 XI 大學（Orsay）的數學碩士學位。

Jeremy Howard 是一位企業家、商業策略師、開發者和教育者。Jeremy 是 fast.ai 的創始研究員，該研究機構致力於使深度學習更易於接觸。他也是舊金山大學的傑出研究科學家、奇點大學的教職員，以及世界經濟論壇的青年全球領袖。

Jeremy 最近的創業公司 Enlitic 是第一家將深度學習應用於醫學的公司，並連續兩年被 MIT Tech Review 評選為全球 50 家最聰明的公司之一。他曾擔任數據科學平台 Kaggle 的總裁和首席科學家，並在國際機器學習競賽中連續兩年排名第一。他是兩家成功的澳大利亞初創公司的創始 CEO（FastMail 和 Optimal Decisions Group，後者被 Lexis-Nexis 收購）。在此之前，他在麥肯錫公司和 AT Kearney 從事管理諮詢工作長達 8 年。Jeremy 投資、指導和諮詢了許多初創公司，並為許多開源項目做出了貢獻。

他在許多電視和其他視頻中出現，包括作為澳大利亞收視率最高的早餐新聞節目的常客、在 TED.com 上的熱門演講，以及數據科學和網頁開發的教程和討論。

類似商品