Mobile Artificial Intelligence Projects
暫譯: 行動人工智慧專案

Karthikeyan NG , Arun Padmanabhan , Matt R. Cole

Mobile Artificial Intelligence Projects
  • 出版商: Packt Publishing
  • 出版日期: 2019-03-30
  • 售價: $1,220
  • 貴賓價: 9.5 折 $1,159
  • 語言: 英文
  • 頁數: 312
  • 裝訂: Paperback
  • ISBN: 1789344077
  • ISBN-13: 9781789344073
  • 相關分類: 人工智慧

    • 立即出貨 (庫存=1)

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商品描述

Key Features

  • Build practical, real-world AI projects on Android and iOS
  • Implement tasks such as recognizing handwritten digits, sentiment analysis, and more
  • Explore the core functions of machine learning, deep learning, and mobile vision

Book Description

We're witnessing a revolution in Artificial Intelligence, thanks to breakthroughs in deep learning. Mobile Artificial Intelligence Projects empowers you to take part in this revolution by applying Artificial Intelligence (AI) techniques to design applications for natural language processing (NLP), robotics, and computer vision.

This book teaches you to harness the power of AI in mobile applications along with learning the core functions of NLP, neural networks, deep learning, and mobile vision. It features a range of projects, covering tasks such as real-estate price prediction, recognizing hand-written digits, predicting car damage, and sentiment analysis. You will learn to utilize NLP and machine learning algorithms to make applications more predictive, proactive, and capable of making autonomous decisions with less human input. In the concluding chapters, you will work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch across Android and iOS platforms.

By the end of this book, you will have developed exciting and more intuitive mobile applications that deliver a customized and more personalized experience to users.

What you will learn

  • Explore the concepts and fundamentals of AI, deep learning, and neural networks
  • Implement use cases for machine vision and natural language processing
  • Build an ML model to predict car damage using TensorFlow
  • Deploy TensorFlow on mobile to convert speech to text
  • Implement GAN to recognize hand-written digits
  • Develop end-to-end mobile applications that use AI principles
  • Work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch

Who this book is for

Mobile Artificial Intelligence Projects is for machine learning professionals, deep learning engineers, AI engineers, and software engineers who want to integrate AI technology into mobile-based platforms and applications. Sound knowledge of machine learning and experience with any programming language is all you need to get started with this book.

商品描述(中文翻譯)

#### 主要特點

- 在 Android 和 iOS 上構建實用的、真實世界的 AI 專案
- 實現手寫數字識別、情感分析等任務
- 探索機器學習、深度學習和移動視覺的核心功能

#### 書籍描述

我們正見證人工智慧的革命，這要歸功於深度學習的突破。《移動人工智慧專案》使您能夠參與這場革命，通過應用人工智慧 (AI) 技術來設計自然語言處理 (NLP)、機器人技術和計算機視覺的應用程式。

本書教您如何在移動應用程式中利用 AI 的力量，同時學習 NLP、神經網絡、深度學習和移動視覺的核心功能。它包含一系列專案，涵蓋如房地產價格預測、手寫數字識別、汽車損壞預測和情感分析等任務。您將學會利用 NLP 和機器學習算法，使應用程式更具預測性、主動性，並能在較少人為輸入的情況下做出自主決策。在最後幾章中，您將在 Android 和 iOS 平台上使用流行的庫，如 TensorFlow Lite、CoreML 和 PyTorch。

在本書結束時，您將開發出令人興奮且更直觀的移動應用程式，為用戶提供定制化和更個性化的體驗。

#### 您將學到什麼

- 探索 AI、深度學習和神經網絡的概念和基本原理
- 實現機器視覺和自然語言處理的使用案例
- 使用 TensorFlow 構建 ML 模型以預測汽車損壞
- 在移動設備上部署 TensorFlow 將語音轉換為文本
- 實現 GAN 以識別手寫數字
- 開發使用 AI 原則的端到端移動應用程式
- 使用流行的庫，如 TensorFlow Lite、CoreML 和 PyTorch

#### 本書適合誰

《移動人工智慧專案》適合機器學習專業人士、深度學習工程師、AI 工程師和希望將 AI 技術整合到移動平台和應用程式中的軟體工程師。您只需具備機器學習的基本知識和任何程式語言的經驗，即可開始閱讀本書。

作者簡介

Arun Padmanabhan is a Machine Learning consultant with over 8 years of experience building end-to-end machine learning solutions and applications. Currently working with a couple of start-ups in the Financial and Insurance industries, he specializes in automating manual workflows using AI and creating Machine Vision and NLP applications. In past, he has led the data science team of a Singapore based product startup in the restaurant domain. He also has built stand-alone and integrated Machine Learning solutions in the Manufacturing, Shipping and e-commerce domains over the years. His interests are in research, development and applications of Artificial Intelligence and Deep Architectures.

作者簡介(中文翻譯)

阿倫·帕德馬納班擔任機器學習顧問，擁有超過8年的經驗，專注於構建端到端的機器學習解決方案和應用。目前，他與幾家金融和保險行業的初創公司合作，專門利用人工智慧自動化手動工作流程，並創建機器視覺和自然語言處理（NLP）應用。在此之前，他曾領導一家新加坡產品初創公司的數據科學團隊，專注於餐飲領域。多年來，他還在製造、運輸和電子商務領域構建了獨立和集成的機器學習解決方案。他的興趣在於人工智慧和深度架構的研究、開發及應用。

目錄大綱

  1. Artificial Intelligence Concepts and Fundamentals
  2. Creating a Real-Estate price prediction mobile app
  3. Implementing Deepnet Architectures to Recognize Hand Written Digits
  4. Building a Machine Vision Mobile App to Classify Flower Species
  5. Building a ML Model to Predict Car Damage Using TensorFlow
  6. PyTorch experiments on NLP and RNN
  7. TensorFlow on Mobile with Speech-to-Text with the WaveNet Model
  8. Implementing GANs to Recognize Handwritten Digits
  9. Sentiment Analysis over Text Using LinearSVC
  10. What's next?

目錄大綱(中文翻譯)


  1. Artificial Intelligence Concepts and Fundamentals

  2. Creating a Real-Estate price prediction mobile app

  3. Implementing Deepnet Architectures to Recognize Hand Written Digits

  4. Building a Machine Vision Mobile App to Classify Flower Species

  5. Building a ML Model to Predict Car Damage Using TensorFlow

  6. PyTorch experiments on NLP and RNN

  7. TensorFlow on Mobile with Speech-to-Text with the WaveNet Model

  8. Implementing GANs to Recognize Handwritten Digits

  9. Sentiment Analysis over Text Using LinearSVC

  10. What's next?

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