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19-lab-summer-training's Introduction

2019 Lab的暑期訓練

時間表

https://docs.google.com/spreadsheets/d/1VIjkSkHaKyyWUgojbz2mj1N6KN3iev-BVKLWan3W66E/edit#gid=0

日程

  • 0701: DNN + CNN練習
  • 0702: DNN + 土地(了解特徵)
  • 0703: 土地(串基礎模型) + RNN
  • 0704: RNN + 土地(改善模型), element-wise
  • 0705: LSTM
  • 0708: Seq2Seq

使用到的套件

可以參考以上的Pipfile

cuda與cuDNN需要另外安裝,v10不需要手動設定環境變數

https://medium.com/@WhoYoung99/2018%E6%9C%80%E6%96%B0win10%E5%AE%89%E8%A3%9Dtensorflow-gpu-keras-8b3f8652509a

cuda, cuDNN跟Node.js一樣直接裝在全域(global)

若嫌麻煩可以改用conda的虛擬環境

https://medium.com/%E9%9B%9E%E9%9B%9E%E8%88%87%E5%85%94%E5%85%94%E7%9A%84%E5%B7%A5%E7%A8%8B%E4%B8%96%E7%95%8C/%E6%A9%9F%E5%99%A8%E5%AD%B8%E7%BF%92-ml-note-windows-%E6%90%AD%E5%BB%BAtensorflow-gpu-%E7%92%B0%E5%A2%83-anaconda-tensorflow-gpu-cuda-cudnn-a047c0f275f4

IDE

主要使用jupyer lab, 並搭配以下extensions:

  • Jupyterlab-toc: 可以顯示jupyter內markdown的大綱
  • jupyterlab-go-to-definition
  • nbdime: 比較不同commit的ipynb的差異
  • jupyterlab-variableInspector: 在jupyter lab內觀察變數的內容

Jupyter使用

  1. remote server
    pipenv run jupyter lab --ip=0.0.0.0 --no-browser

19-lab-summer-training's People

Contributors

johnny12150 avatar

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