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lstm-handson-app's Introduction

LSTMハンズオン

今回はkerasを利用した時系列データの予測を行います。

  • 規則性のある波を予測 (値1つで予測)
  • 規則性のあるアイスクリームの売り上げ予測 (売り上げだけではなく気温など複数の値を考慮して予測)
  • 規則性のないbitcoinの値段を予測 (最終取引価格や最高売り価格などで予測)
  • おまけでword2vec

run

  1. docker build and run
$ docker build --rm -t lstm-handson-app .
$ docker run -d -p 8888:8888 -v "$(pwd)/volume:/home/python_user/volume" --name lstm-handson-app lstm-handson-app
  1. go jupiter notebook

  2. select main.ipynb and run (shift + enter)

remove

$ docker stop lstm-handson-app && docker rm lstm-handson-app
$ docker rmi lstm-handson-app continuumio/anaconda3

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