The Deep Learning with Keras Workshop, Second Edition
暫譯: 第二版 Keras 深度學習工作坊

Moocarme, Matthew, Abdolahnejad, Mahla, Bhagwat, Ritesh

The Deep Learning with Keras Workshop, Second Edition
  • 出版商: Packt Publishing
  • 出版日期: 2020-02-27
  • 售價: $1,540
  • 貴賓價: 9.5 折 $1,463
  • 語言: 英文
  • 頁數: 446
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 183921757X
  • ISBN-13: 9781839217579
  • 相關分類: DeepLearning

    • 海外代購書籍(需單獨結帳)

商品描述

You already know that you want to learn Keras, and a smarter way to learn is to learn by doing. The Deep Learning with Keras Workshop focuses on building up your practical skills so that you can develop artificial intelligence applications or build machine learning models with Keras. You'll learn from real examples that lead to real results.

 

Throughout The Deep Learning with Keras Workshop, you'll take an engaging step-by-step approach to understand Keras. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend tinkering with your own neural networks. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding.

 

Every physical print copy of The Deep Learning with Keras Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your book.

 

Fast-paced and direct, The Deep Learning with Keras Workshop is the ideal companion for those who are just getting started with Keras. You'll build and iterate on your code like a software developer, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.

商品描述(中文翻譯)

您已經知道您想學習 Keras，而更聰明的學習方式是透過實作來學習。《Deep Learning with Keras Workshop》專注於提升您的實務技能，使您能夠使用 Keras 開發人工智慧應用程式或建立機器學習模型。您將從實際範例中學習，並獲得真實的成果。

在《Deep Learning with Keras Workshop》中，您將採取引人入勝的逐步方法來理解 Keras。您不必忍受任何不必要的理論。如果您時間有限，可以每天跳入一個單一的練習，或花整個週末來調整自己的神經網絡。這完全取決於您。按照您的方式學習，您將以一種令人滿意的方式建立和強化關鍵技能。

每本《Deep Learning with Keras Workshop》的實體印刷本都解鎖了互動版的訪問權限。透過詳細說明所有練習和活動的影片，您將始終擁有指導解決方案。您還可以通過評估來自我評估，追蹤進度，並接收內容更新。完成後，您甚至會獲得一個安全的證書，您可以在線分享和驗證。這是一個高級的學習體驗，包含在您的印刷本中。要兌換，請遵循書本開頭的說明。

快速且直接，《Deep Learning with Keras Workshop》是剛開始接觸 Keras 的理想伴侶。您將像軟體開發人員一樣構建和迭代您的代碼，並在過程中學習。這個過程意味著您會發現您的新技能會牢牢掌握，嵌入最佳實踐中。為未來的幾年奠定堅實的基礎。

作者簡介

Matthew Moocarme

Matthew Moocarme is a director and senior data scientist in Viacom’s advertising science team. As a data scientist at Viacom, he designs data-driven solutions to help Viacom gain insights, streamline workflows, and solve complex problems using data science and machine learning. Matthew lives in New York City and outside of work enjoys combining deep learning with music theory. He is a classically-trained physicist, holding a Ph.D in physics from The Graduate Center of CUNY and is an active artificial intelligence developer, researcher, practitioner, and educator.

Mahla Abdolahnejad

Mahla Abdolahnejad is a Ph.D. candidate in systems and computer engineering with Carleton University, Canada. She also holds a bachelor's degree and a master's degree in biomedical engineering, which first exposed her to the field of artificial intelligence and artificial neural networks, in particular. Her Ph.D. research is focused on deep unsupervised learning for computer vision applications. She is particularly interested in exploring the differences between a human's way of learning from the visual world and a machine's way of learning from the visual world, and how to push machine learning algorithms toward learning and thinking like humans.

Ritesh Bhagwat

Ritesh Bhagwat has a master's degree in applied mathematics with a specialization in computer science. He has over 14 years of experience in data-driven technologies and has led and been a part of complex projects ranging from data warehousing and business intelligence to machine learning and artificial intelligence. He has worked with top-tier global consulting firms as well as large multinational financial institutions. Currently, he works as a data scientist. Besides work, he enjoys playing and watching cricket and loves to travel. He is also deeply interested in Bayesian statistics.

作者簡介(中文翻譯)

**馬修·穆卡梅**

馬修·穆卡梅是維亞康（Viacom）廣告科學團隊的主任及高級數據科學家。作為維亞康的數據科學家，他設計以數據為驅動的解決方案，幫助維亞康獲取洞察、簡化工作流程，並利用數據科學和機器學習解決複雜問題。馬修居住在紐約市，工作之餘喜歡將深度學習與音樂理論結合。他是一位受過古典訓練的物理學家，擁有CUNY研究生中心的物理學博士學位，並且是一位活躍的人工智慧開發者、研究者、實踐者和教育者。

**馬哈拉·阿卜杜拉赫賈德**

馬哈拉·阿卜杜拉赫賈德是加拿大卡爾頓大學系統與計算機工程的博士候選人。她擁有生物醫學工程的學士和碩士學位，這使她首次接觸到人工智慧及人工神經網絡的領域。她的博士研究專注於計算機視覺應用的深度無監督學習。她特別有興趣探索人類從視覺世界學習的方式與機器從視覺世界學習的方式之間的差異，以及如何推動機器學習算法朝向像人類一樣學習和思考。

**瑞特什·巴格瓦特**

瑞特什·巴格瓦特擁有應用數學碩士學位，專攻計算機科學。他在數據驅動技術方面擁有超過14年的經驗，並參與過從數據倉儲和商業智慧到機器學習和人工智慧的複雜項目。他曾與頂尖的全球諮詢公司以及大型跨國金融機構合作。目前，他擔任數據科學家。除了工作，他喜歡打板球和觀看板球比賽，並熱愛旅行。他對貝葉斯統計也有濃厚的興趣。

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