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運動休閒與健康管理學位學程
course information of 108 - 2 | 8326 Machine Learning in Health Care Application(機器學習在健康管理的應用)

8326 - 機器學習在健康管理的應用 Machine Learning in Health Care Application


教育目標 Course Target

學會使用機器學習Python健康管理的應用 Learn the application of Python health management using machines


參考書目 Reference Books

Deep Learning:用Python進行深度學習的基礎理論實作
作者: 斎藤康毅
譯者: 吳嘉芳
出版社:歐萊禮



利用最少的外部函式庫,使用Python,從零開始實際執行深度學習的程式。
  .說明Python 的用法,讓Python 的初學者也能理解。
  .實際執行Python 的原始碼,同時提供讀者手邊可以進行實驗的學習環境。
  .從簡單的機器學習問題開始,到最後執行精密辨識影像的系統。
  .以淺顯易懂的方式說明深度學習與神經網路理論。
  .針對看似複雜的技術,如誤差反向傳播與卷積運算等,利用實際操作方式說明,幫助理解。
  .介紹在執行深度學習時,有幫助且實用的技巧,包括決定學習率的方法、權重的預設值等。
  .說明Batch Normalization、Dropout、Adam 等最近的趨勢與操作。
  .為什麼深度學習很優秀,為什麼加深層數,就能提高辨識準確度,為什麼隱藏層很重要,仔細說明這些「為什麼」。
  .介紹自動運作、產生影像、強化學習等深度學習的應用範例。
Deep Learning: Basic theories of In-depth Learning in Python
Author: Yasuhiko Oki
Translator: Wu Jiafang
Publisher: Ole Leather



Using the least amount of external function databases, use Python to actually execute deep learning programs from zero.
  . Explain the usage of Python so that Python beginners can understand it.
  . Execute Python's original codes and provide a learning environment where readers can experience it.
  . Start with a simple machine learning problem and finally execute a system that accurately recognizes images.
  . Explain in-depth learning and neural network theory in a clean and easy-to-understand way.
  . For seemingly complex technologies, such as misalignment reverse propagation and volume calculation, use actual operation methods to help understand.
  . Introduce helpful and practical skills when performing in-depth learning, including methods to determine learning rates, preset values ​​of power, etc.
  . Explain the recent trends and operations of Batch Normalization, Dropout, Adam, etc.
  . Why in-depth learning is excellent, why deepening the level can improve the identification accuracy, why hidden layers are important, explain these "why".
  . Introduce application examples of deep learning such as automatic operation, image generation, and enhanced learning.


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description
專題研究報告説明專題研究報告説明
Special research report statement
70
程式設計實作示範或演示程式設計實作示範或演示
Programming design demonstration or demonstration
20
出席和上課表現出席和上課表現
Attendance and class presentation
10

授課大綱 Course Plan

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相似課程 Related Course

必修-8636 Machine Learning in Health Care Application / 多元與議題導向:機器學習在健康管理的應用 (共必修1-4,授課教師:劉榮春/林光甫,一/10,11[LAN011])

Course Information

Description

學分 Credit:0-2
上課時間 Course Time:Monday/10,11[LAN011]
授課教師 Teacher:劉榮春/林光甫
修課班級 Class:運健學程1-4
選課備註 Memo:通識中心8636課程雙掛
授課大綱 Course Plan: Open

選課狀態 Attendance

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目前選課人數為 4 人。

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