- 基本程式設計經驗
觀眾
- 軟體工程師
OpenCV 是一個程式設計函數庫,用於使用計算機演算法破譯圖像。OpenCV 4 是最新的 OpenCV 版本,它提供了優化的模組化、更新的演算法等。借助 OpenCV 4 和 Python,使用者將能夠查看、載入和分類圖像和視頻,以實現高級圖像識別。
這種以講師為主導的現場培訓(現場或遠端)針對希望在Python和OpenCV 4中程式設計以進行深度學習的軟體工程師。
在培訓結束時,參與者將能夠:
- 使用 OpenCV 查看、載入和分類圖像和視頻 4.
- 在 OpenCV 4 中使用 TensorFlow 和 Keras 實現深度學習。
- 運行深度學習模型,並從圖像和視頻中生成有影響力的報告。
課程形式
- 互動講座和討論。
- 大量的練習和練習。
- 在現場實驗室環境中實際實施。
課程定製選項
- 如需申請此課程的定製培訓,請聯繫我們進行安排。
介紹
什麼是人工智慧
- 計算心理學
- 計算哲學
Deep Learning
- 人工神經網路
- 深度學習與機器學習
準備開發環境
- 安裝和設定 OpenCV
OpenCV 4 快速入門
- 查看圖像
- 使用顏色通道
- 觀看視頻
Deep Learning Computer Vision
- 使用 DNN 模組
- 使用深度學習模型
- 使用 SSD
Neural Networks
- 使用不同的訓練方法
- 衡量績效
捲積 Neural Networks
- 訓練和設計CNN
- 在 Keras 中構建CNN
- 匯入數據
- 保存、載入和顯示模型
分類
- 構建和訓練分類器
- 拆分數據
- 提高結果和值的準確性
總結和結論
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