Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence (Paperback)

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)

「這本書是一個令人驚嘆的成就,以精確和深入的理解力寫成。它在娛樂你的同時,也提供了許多有趣的資訊。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) 評論家

「這本書是一個了解深度學習的絕佳資源。插圖有助於加深對內容的理解,而有關工具和技術背後的生物動機的背景說明則使人更加欣賞這個領域。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) 評論家

深度學習正在改變軟體,提供強大的新人工智慧能力,並推動前所未有的演算法性能。《深度學習圖解》獨具視覺、直觀和易於理解的特點,同時提供了對這門學科技術和應用的全面介紹。書中充滿了全彩應用和易於跟隨的程式碼,它消除了構建深度學習模型的復雜性,使這個主題易於理解和學習。

世界一流的教師和實踐者Jon Krohn(還有Grant Beyleveld提供的重要材料和Agla Bassens的精美插圖)用直觀的類比解釋了深度學習的定義,為什麼它變得如此受歡迎,以及它與其他機器學習方法的關係。他還為開發人員、數據科學家、研究人員、分析師和學生提供了實用的參考和教程,他們希望開始應用深度學習。他盡量以最少的數學理論來闡明概念,而是選擇用實用的Python程式碼和附帶的Jupyter筆記本來說明。為了幫助您快速進步,他專注於靈活高效的深度學習庫Keras,以便敏捷地構建TensorFlow模型;同時也涵蓋了領先的替代庫PyTorch。

您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、圖像生成和遊戲算法等應用中的使用的實用理解。

- 發現深度學習系統的獨特之處,以及對從業人員的影響
- 探索使深度學習模型更易於構建、使用和改進的新工具
- 掌握基本理論:人工神經元、深度前饋網絡、訓練、優化、卷積網絡、循環網絡、生成對抗網絡(GANs)、深度強化學習等
- 透過構建互動式深度學習應用程序,推進自己的人工智慧項目

請註冊您的產品,以便方便地獲取下載、更新和/或更正。更多信息請參閱書中內容。
Pearson IT Certification和Sander Van Vugt與Red Hat, Inc.無關。RED HAT和RHCSA商標僅用於識別目的,並不意味著與Red Hat, Inc.的聯繫或批准。」

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是紐約機器學習初創公司untapt的首席數據科學家。他領導著一個蓬勃發展的深度學習研究小組,在Safari上推出了備受讚譽的《使用TensorFlow進行深度學習》視頻課程,並在紐約市數據科學學院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年以來一直在領先的學術期刊上發表機器學習方面的論文。

Grant Beyleveld是紐約Mount Sinai醫院Icahn醫學院的博士候選人,研究病毒與宿主之間的關係。作為深度學習研究小組的創始成員,他擁有威特沃特斯蘭德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。她在牛津大學的拉斯金繪畫和美術學院以及倫敦大學學院的斯萊德美術學院學習美術。除了插畫工作外,她還從事靜物畫和壁畫創作。