Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi
暫譯: 使用 TensorFlow 開發智能行動專案:為 iOS、Android 和 Raspberry Pi 建立 10 多個人工智慧應用程式
Jeff Tang
- 出版商: Packt Publishing
- 出版日期: 2018-05-22
- 售價: $1,650
- 貴賓價: 9.5 折 $1,568
- 語言: 英文
- 頁數: 404
- 裝訂: Paperback
- ISBN: 1788834542
- ISBN-13: 9781788834544
-
相關分類:
Android、Apple Developer、Raspberry Pi、DeepLearning、TensorFlow、人工智慧
-
相關翻譯:
AI 手機 APP、智慧硬體專案實作|使用 TensorFlow Lite (iOS/Android/RPi適用) (Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi) (繁中版)
TensorFlow AI移動項目開發實戰 (簡中版)
立即出貨 (庫存=1)
買這商品的人也買了...
-
$2,210$2,100 -
$1,980$1,881 -
$1,830$1,739 -
$600$540 -
$1,890$1,796 -
$580$493 -
$352Linux 性能優化 (Optimizing Linux Performance: A Hands-On Guide to Linux Performance Tools)
-
$1,600$1,520 -
$37421個項目玩轉深度學習 -- 基於 TensorFlow 的實踐詳解
-
$1,830$1,739 -
$379TensorFlow 移動端機器學習實戰
相關主題
商品描述
Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow
Key Features
- Build TensorFlow-powered AI applications for mobile and embedded devices
- Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning
- Get practical insights and exclusive working code not available in the TensorFlow documentation
Book Description
As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of AI. This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You'll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models. You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips.
What you will learn
- Classify images with transfer learning
- Detect objects and their locations
- Transform pictures with amazing art styles
- Understand simple speech commands
- Describe images in natural language
- Recognize drawing with Convolutional Neural Network and Long Short-Term Memory
- Predict stock price with Recurrent Neural Network in TensorFlow and Keras
- Generate and enhance images with generative adversarial networks
- Build AlphaZero-like mobile game app in TensorFlow and Keras
- Use TensorFlow Lite and Core ML on mobile
- Develop TensorFlow apps on Raspberry Pi that can move, see, listen, speak, and learn
Who This Book Is For
If you're an iOS/Android developer interested in building and retraining others' TensorFlow models and running them in your mobile apps, or if you're a TensorFlow developer and want to run your new and amazing TensorFlow models on mobile devices, this book is for you. You'll also benefit from this book if you're interested in TensorFlow Lite, Core ML, or TensorFlow on Raspberry Pi.
Table of Contents
- Getting Started with Mobile TensorFlow
- Recognizing Dog Breed or Flower Type
- Detecting Objects and their Locations
- Transforming Pictures with Amazing Art Styles
- Understanding Simple Speech Commands
- Describing Images in Natural Language
- Generating Natural Sounding Speech
- Classifying and Summarizing Text
- Performing Machine Translation from English to French
- Predicting House and Stock Prices
- Building AlphaGo-like Chess App
- Seeing, Listening, Speaking and Learning on Raspberry Pi
商品描述(中文翻譯)
使用 TensorFlow 為多個平台創建深度學習和強化學習應用程式
主要特點
- 為移動和嵌入式設備構建基於 TensorFlow 的 AI 應用程式
- 學習現代 AI 主題,如計算機視覺、自然語言處理 (NLP) 和深度強化學習
- 獲得實用見解和 TensorFlow 文檔中未提供的獨家工作代碼
書籍描述
作為一名開發者,您需要隨時關注即將流行的趨勢,同時也要專注於當前的趨勢。那麼,學習如何整合當前與未來的最佳技術,還有什麼比這更好的呢?人工智慧 (AI) 被廣泛認為是移動設備之後的下一個重大趨勢,而 Google 的 TensorFlow 是領先的開源機器學習框架,是 AI 中最熱門的分支。本書涵蓋了超過 10 個完整的 iOS、Android 和 Raspberry Pi 應用程式,這些應用程式由 TensorFlow 提供支持,並從零開始構建,能夠在設備上離線運行各種酷炫的 TensorFlow 模型:從計算機視覺、語音和語言處理到生成對抗網絡和類似 AlphaZero 的深度強化學習。您將學習如何使用或重新訓練現有的 TensorFlow 模型,構建自己的模型,並開發運行這些 TensorFlow 模型的智能移動應用程式。您將學習如何通過逐步教程快速構建這些應用程式,以及如何在過程中避免許多陷阱,並獲得大量辛苦得來的故障排除技巧。
您將學到什麼
- 使用遷移學習對圖像進行分類
- 檢測物體及其位置
- 用驚人的藝術風格轉換圖片
- 理解簡單的語音命令
- 用自然語言描述圖像
- 使用卷積神經網絡和長短期記憶識別繪畫
- 使用 TensorFlow 和 Keras 的循環神經網絡預測股價
- 使用生成對抗網絡生成和增強圖像
- 在 TensorFlow 和 Keras 中構建類似 AlphaZero 的移動遊戲應用程式
- 在移動設備上使用 TensorFlow Lite 和 Core ML
- 在 Raspberry Pi 上開發能夠移動、看、聽、說和學習的 TensorFlow 應用程式
本書適合誰
如果您是一名 iOS/Android 開發者,對構建和重新訓練他人的 TensorFlow 模型並在您的移動應用程式中運行它們感興趣,或者如果您是一名 TensorFlow 開發者,想要在移動設備上運行您新的和驚人的 TensorFlow 模型,那麼這本書適合您。如果您對 TensorFlow Lite、Core ML 或在 Raspberry Pi 上的 TensorFlow 感興趣,您也將從本書中受益。
目錄
- 開始使用移動 TensorFlow
- 識別狗品種或花卉類型
- 檢測物體及其位置
- 用驚人的藝術風格轉換圖片
- 理解簡單的語音命令
- 用自然語言描述圖像
- 生成自然聽起來的語音
- 對文本進行分類和摘要
- 從英語翻譯成法語的機器翻譯
- 預測房屋和股價
- 構建類似 AlphaGo 的棋類應用程式
- 在 Raspberry Pi 上進行視覺、聽覺、語音和學習