---
# System prepended metadata

title: 201909. Week6
tags: [ML讀書會]

---

# 201909. Week6
###### tags: `ML讀書會`

# 本週作業
1. DL概述與Functional API 寫法
    * [DL介紹](https://www.youtube.com/watch?v=a3il0kd6FrE&feature=youtu.be)
    
    * [Keras 函數式(functional)API構建模型](https://www.youtube.com/watch?v=si5n73Y_km0&feature=youtu.be)

    * [keras_function_API.ipynb](https://colab.research.google.com/drive/14_jm7uADe5X_InDentSzeMhz0-XmvyQz)
    * [RNN介紹](https://www.youtube.com/watch?v=45W5NL0f9hk&feature=youtu.be)
    * [201909_W1_simple_lstm.ipynb](https://colab.research.google.com/drive/1Vp5ic2Pm9GgfS0XRd5G4gLQ5Oallylz7)

5. [實機作業 & Q&A]
    * 本周作業希望大家能將lstm model 帶入股價(台積電)作分析，底下連結為這次的作業未完成版，裡面有些許內容被我槓掉(XXXXXXX的地方)，大家試著填入正確的程式碼吧!不要求error高低，只要能夠training跟predict就好，謝啦(https://colab.research.google.com/drive/1YYr6DS1viq0lnEZQ0P2vy8d6w1Aszsi9)

6. Reference 
    * [LSTM:程式實作 ](https://machinelearningmastery.com/how-to-develop-lstm-models-for-time-series-forecasting/)
    * [LSTM:理論](https://www.zybuluo.com/hanbingtao/note/581764)
    * [Keras Functional Api](https://keras.io/zh/getting-started/functional-api-guide/)