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 to use machine learning Python for health management applications

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 theoretical implementation of deep learning using Python
Author: Yasuki Saito
Translator: Wu Jiafang
Publisher: O'Reilly



Utilize minimal external libraries and use Python to actually execute deep learning programs from scratch.
. Explain the usage of Python so that even beginners of Python can understand it.
. It actually executes the Python source code and provides readers with a learning environment where they can conduct experiments.
. Starting from simple machine learning problems, and finally implementing systems for precise image recognition.
. Explain deep learning and neural network theory in an easy-to-understand way.
. For seemingly complex technologies, such as error backpropagation and convolution operations, practical operation methods are used to explain and help understand.
. Introduces helpful and practical techniques when performing deep learning, including methods for determining learning rates, preset values ​​for weights, etc.
. Explain the recent trends and operations of Batch Normalization, Dropout, Adam, etc.
. Why deep learning is excellent, why deeper layers can improve recognition accuracy, why hidden layers are important, explain these "whys" in detail.
. Introduces application examples of deep learning such as automatic operation, image generation, and reinforcement learning.

評分方式 Grading

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配分比例
Percentage
說明
Description
專題研究報告説明
Special research report description
70
程式設計實作示範或演示
Programming implementation demonstration or demonstration
20
出席和上課表現
Attendance and class performance
10

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必修-8636
共必修1-4 劉榮春/林光甫 一/10,11[LAN011] 0-2 詳細資訊 Details

課程資訊 Course Information

基本資料 Basic Information

  • 課程代碼 Course Code: 8326
  • 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
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