AI and Machine Learning for On-Device Development: A Programmer's Guide
暫譯: 在裝置開發中的人工智慧與機器學習：程式設計師指南
Moroney, Laurence
- 出版商: O'Reilly
- 出版日期: 2021-09-21
- 定價: $2,300
- 售價: 9.0 折 $2,070
- 語言: 英文
- 頁數: 328
- 裝訂: Quality Paper - also called trade paper
- ISBN: 109810174X
- ISBN-13: 9781098101749
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相關分類:
Machine Learning
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相關翻譯:
從機器學習到人工智慧｜寫給 Android/iOS 程式師的 ML/AI 開發指南 (AI and Machine Learning for On-Device Development: A Programmer's Guide) (繁中版)
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商品描述
AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating models and running them on popular mobile platforms such as iOS and Android.
Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today.
- Explore the options for implementing ML and AI on mobile devices--and when to use each
- Create ML models for iOS and Android
- Write ML Kit and TensorFlow Lite apps for iOS and Android and Core ML/Create ML apps for iOS
- Understand how to choose the best techniques and tools for your use case: on-device inference versus cloud-based inference, high-level APIs versus low-level APIs, and more
- Learn privacy and ethics best practices for ML on devices
商品描述(中文翻譯)
AI 沒有運行的地方就毫無意義。隨著行動裝置已成為大多數人的主要計算設備，行動開發者將 AI 加入他們的工具箱變得至關重要。本書是您在 iOS 和 Android 等熱門行動平台上創建模型和運行模型的指南。
Google 的首席 AI 倡導者 Laurence Moroney 提供了機器學習技術和工具的介紹，然後帶您逐步編寫由常見的機器學習模型（如計算機視覺和文本識別）驅動的 Android 和 iOS 應用程式，使用的工具包括 ML Kit、TensorFlow Lite 和 Core ML。如果您是行動開發者，本書將幫助您利用當前的機器學習革命。
- 探索在行動裝置上實現機器學習和 AI 的選項，以及何時使用每種選項
- 為 iOS 和 Android 創建機器學習模型
- 為 iOS 和 Android 編寫 ML Kit 和 TensorFlow Lite 應用程式，以及為 iOS 編寫 Core ML/Create ML 應用程式
- 理解如何為您的使用案例選擇最佳技術和工具：設備端推斷與雲端推斷、高階 API 與低階 API 等
- 學習設備上機器學習的隱私和倫理最佳實踐
作者簡介
Laurence Moroney leads AI Advocacy at Google. His goal is to educate the world of software developers in how to build AI systems with Machine Learning. He's a frequent contributor to the TensorFlow YouTube channel at youtube.com/tensorflow, a recognized global keynote speaker and author of more books than he can count, including several best-selling science fiction novels, and a produced screenplay. He's based in Washington state, where he drinks way too much coffee. You can reach him on twitter at @lmoroney, or LinkedIn at linkedin.com/in/laurence-moroney.
作者簡介(中文翻譯)
Laurence Moroney 在 Google 負責 AI 推廣工作。他的目標是教育全球的軟體開發者如何使用機器學習 (Machine Learning) 建立 AI 系統。他經常為 TensorFlow 的 YouTube 頻道 (youtube.com/tensorflow) 貢獻內容，是一位公認的全球主題演講者，並且著有無數本書籍，包括幾部暢銷的科幻小說和一部已製作的劇本。他目前居住在華盛頓州，喝了太多咖啡。您可以在 Twitter 上聯繫他 @lmoroney，或在 LinkedIn 上聯繫他 linkedin.com/in/laurence-moroney。
