- 了解機器學習
- 移動開發經驗
觀眾
- 軟體工程師
- 移動應用程式開發人員
ML Kit 是 Google 提供的移動 SDK，用於將機器學習技術集成到 Android 和 iOS 應用程式中。它具有可用於條碼掃描、人臉檢測、圖像標記、物件檢測和跟蹤、文本識別、翻譯以及其他視覺和語言處理功能的可用API。
這種講師指導的即時培訓（在線或現場）面向希望使用 Google ML Kit 構建針對行動裝置上的處理進行了優化的機器學習模型的開發人員。
在本次培訓結束時，參與者將能夠：
- 設置必要的開發環境以開始為行動應用程式開發機器學習功能。
- 使用 ML Kit API 將新的機器學習技術集成到 Android 和 iOS 應用程式中。
- 使用 ML Kit SDK 增強和優化現有應用程式，以進行設備上的處理和部署。
課程形式
- 互動講座和討論。
- 大量的練習和練習。
- 在即時實驗室環境中動手實施。
課程自定義選項
- 要申請本課程的定製培訓，請聯繫我們進行安排。
介紹
- ML Kit 與 TensorFlow 與其他機器學習服務
- ML Kit 功能和元件概述
開始
- 設置 ML Kit SDK
- 探索 API 和範例應用程式
實現 ML Kit Vision API
- 自動輸入資料（文字識別）
- 檢測自拍和人像的人臉（人臉檢測）
- 解釋身體位置（姿勢檢測）
- 新增背景效果（自拍分割）
- 集成 Barcode 掃描
- 識別物體、地點、物種等（圖像標註）
- 在影像中定位突出的物件（物件檢測和追蹤）
- 識別手寫文字（數位墨水識別）
使用自然語言 API
- 識別語言
- 翻譯文本
- 生成智能回復
- 使用實體提取
使用ML Kit 優化現有應用程式
- 使用 ML Kit 的自定義模型
- 從 Firebase 遷移到新的 ML Kit SDK
- 從Mobile Vision遷移到ML KitSDK
- 減小應用程式大小以進行部署
- 重構應用以使用動態功能模組
故障排除提示
總結和後續步驟
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