1091_DESIGN PRACTICE AND APPLICATIONS OF MACHINE LEARNING SYSTEMS
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Course Intro

Course Plan

  • 00_Overview_v1.1
  • 01_人工智慧視覺運算方法
  • 02_人工智慧視覺運算方法實務與計算平台
  • 03_人工智慧訓練資料準備實務
  • 04_Jetson-nano
  • 05_Edge-computing_Pi
  • 06_Home Care System and Fall Detection
  • 07_Model Compression and Acceleration
  • 08_工業數據異常偵測Intro
  • 08_基於多視角學習之工業數據異常偵測- 集成學習
  • 09_工業數據異常偵測應用與挑戰
  • 10_時序性資料分析與應用
  • 11_用於辨識製造缺陷之深度機器視覺
  • 12_工業影像分析處理
  • 第一次報告成績
  • MLVD作業成績
  • Anaconda
  • demo1
  • demo2_CNN
  • demo2_NN
  • demo2_read_image
  • CNN demo
  • Using Yolov3 on server overview
  • YOLO4-tiny_demo
  • Raspberrypi_Setup
  • HW1
  • HW2
  • HW3
  • Homework 4
  • Homework 4-1
  • HW5
  • HW6
  • HW7
  • Homework 8
  • Homework9
  • Homework 10
  • Homework 11
  • Homework 12
  • 機器學習系統設計實務與應用修課名單
  • labelImg
  • Raspberrypi_TFLite
  • Raspberrypi_Falling Detection
  • Raspberrypi_TransTFLite
  • MNIST_Demo
  • Fall_detect_Demo
  • Model pruning
  • ML_template
  • Data Analysis
  • Data Analysis demo
  • data_analysis_demo data
  • Data Transform
  • DPML2_1
  • DPML2_2
  • data transform data
  • Practice
  • wafer_information
  • DPML_practice
  • Time Series Data Analysis
  • 時序性資料分析與應用_報告模板
  • DPML_ARIMA_WWWUsage
  • DPML_DFT
  • DPML_SVD
  • 1222_demo
  • Image Process
  • 1229_demo
  • ML_template_project
  • 期末專題評量尺規
Co-Instructor(s)
謝東佑
Co-Instructor(s)
陳則佑
Co-Instructor(s)
蔡京燁
Co-Instructor(s)
莊學叡
Co-Instructor(s)
吳閏琮

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