Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence (Paperback)
暫譯: 深度學習插圖:人工智慧的視覺互動指南(平裝本)

Krohn, Jon, Beyleveld, Grant, Bassens, Aglae

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商品描述

"This book is a stunning achievement, written with precision and depth of understanding. It entertains you and gives you lots of interesting information at the same time. I could never imagine understanding and gaining scientific knowledge, namely 'Deep Learning' can be this much fun Reading the book is a pleasure and I highly recommend it."
--maryamkhakpour, O'Reilly Online Learning (Safari) Reviewer
"This title is a great resource for those looking to understand deep learning. The illustrations are helpful and aid in cementing a richer understanding of the content, and the background context surrounding biological motivations for the tools and techniques enables a greater appreciation of the field. I enthusiastically recommend this book to any and all who are interested in the topic of deep learning."
-vincepetaccio, O'Reilly Online Learning (Safari) Reviewer
Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely visual, intuitive, and accessible, and yet offers a comprehensive introduction to the discipline's techniques and applications. Packed with full-color applications and easy-to-follow code, it sweeps away much of the complexity of building deep learning models, making the subject approachable and fun to learn.

World-class instructor and practitioner Jon Krohn-with crucial material from Grant Beyleveld and beautiful illustrations by Agla Bassens-presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. He also offers a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He covers essential theory with as little mathematics as possible, preferring to illuminate concepts with hands-on Python code and practical "run-throughs" in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile, high-level deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered.

You'll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms.

  • Discover what makes deep learning systems unique, and the implications for practitioners
  • Explore new tools that make deep learning models easier to build, use, and improve
  • Master essential theory: artificial neurons, deep feedforward networks, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more
  • Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects

Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside the book for more information.
Pearson IT Certification, and Sander Van Vugt have no affiliation with Red Hat, Inc. The RED HAT and RHCSA trademarks are used for identification purposes only and are not intended to indicate affiliation with or approval by Red Hat, Inc.

商品描述(中文翻譯)

「這本書是一項驚人的成就,寫作精確且深入理解。它同時娛樂你並提供大量有趣的信息。我從未想過理解和獲得科學知識,特別是『深度學習』,可以這麼有趣。閱讀這本書是一種享受,我強烈推薦它。」
--maryamkhakpour, O'Reilly Online Learning (Safari) 評論者

「這本書對於那些希望理解深度學習的人來說是一個很好的資源。插圖非常有幫助,有助於鞏固對內容的更深入理解,而圍繞工具和技術的生物動機背景使得對這個領域的欣賞更為深刻。我熱情地推薦這本書給所有對深度學習主題感興趣的人。」
-vincepetaccio, O'Reilly Online Learning (Safari) 評論者

深度學習正在改變軟體,促進強大的新人工智慧能力,並驅動前所未有的演算法性能。深度學習插圖以獨特的視覺化、直觀且易於接觸的方式,提供了對這一學科技術和應用的全面介紹。書中充滿了全彩的應用和易於跟隨的程式碼,消除了建立深度學習模型的許多複雜性,使這個主題變得易於接觸且有趣。

世界級的講師和實踐者 Jon Krohn,結合 Grant Beyleveld 的重要材料和 Agla Bassens 的美麗插圖,通過簡單的類比來解釋深度學習是什麼、為什麼它變得如此受歡迎,以及它如何與其他機器學習方法相關。他還為開發者、數據科學家、研究人員、分析師和希望開始應用深度學習的學生提供了實用的參考和教程。他以盡可能少的數學涵蓋基本理論,偏好用實際的 Python 程式碼和隨附的 Jupyter 筆記本中的實用「演練」來闡明概念。為了幫助你快速進步,他專注於多功能的高階深度學習庫 Keras,靈活地構建高效的 TensorFlow 模型;領先的替代庫 PyTorch 也有涵蓋。

你將獲得對所有主要深度學習方法及其在機器視覺、自然語言處理、圖像生成和遊戲演算法等應用中的使用的務實理解。

- 發現使深度學習系統獨特的因素,以及對從業者的影響
- 探索使深度學習模型更易於構建、使用和改進的新工具
- 精通基本理論:人工神經元、深度前饋網絡、訓練、優化、卷積網絡、遞歸網絡、生成對抗網絡(GANs)、深度強化學習等
- 逐步構建互動式深度學習應用,並推進自己的人工智慧項目

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Pearson IT Certification 和 Sander Van Vugt 與 Red Hat, Inc. 沒有任何關聯。RED HAT 和 RHCSA 商標僅用於識別目的,並不意圖表示與 Red Hat, Inc. 的關聯或批准。

作者簡介

Jon Krohn is the chief data scientist at untapt, a machine learning startup in New York. He leads a flourishing Deep Learning Study Group, presents the acclaimed Deep Learning with TensorFlow LiveLessons in Safari, and teaches his Deep Learning curriculum at the NYC Data Science Academy. Jon holds a doctorate in neuroscience from Oxford University and has been publishing on machine learning in leading academic journals since 2010.

 

 

Grant Beyleveld is a doctoral candidate at the Icahn School of Medicine at New York's Mount Sinai hospital, researching the relationship between viruses and their hosts. A founding member of the Deep Learning Study Group, he holds a masters in molecular medicine and medical biochemistry from the University of Witwatersrand.

 

 

Aglaé Bassens is a Belgian artist based in Brooklyn. She studied fine arts at The Ruskin School of Drawing and Fine Art, Oxford University, and University College London's Slade School of Fine Arts. Along with her work as an illustrator, her practice includes still life painting and murals.

 

作者簡介(中文翻譯)

Jon Krohn 是位於紐約的機器學習初創公司 untapt 的首席數據科學家。他領導著一個蓬勃發展的深度學習學習小組,並在 Safari 上展示備受讚譽的 Deep Learning with TensorFlow LiveLessons,同時在 NYC Data Science Academy 教授他的深度學習課程。Jon 擁有牛津大學的神經科學博士學位,自 2010 年以來,他在領先的學術期刊上發表有關機器學習的研究。

Grant Beyleveld 是紐約西奈山醫院艾肯醫學院的博士候選人,研究病毒與其宿主之間的關係。他是深度學習學習小組的創始成員,擁有威特沃特斯蘭大學的分子醫學和醫學生物化學碩士學位。

Aglaé Bassens 是一位居住在布魯克林的比利時藝術家。她在牛津大學的 Ruskin School of Drawing and Fine Art 和倫敦大學學院的 Slade School of Fine Arts 學習美術。除了作為插畫家的工作外,她的創作還包括靜物畫和壁畫。