kujirahand / Book Mlearn Gyomu
Book sample (AI Machine-learning Deep-learning)
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すぐに使える！業務で実践できる！Pythonによる AI・機械学習・深層学習アプリのつくり方
このリポジトリは、下記の書籍のサンプルプログラム一覧です。
- 書籍名: すぐに使える!業務で実践できる! PythonによるAI・機械学習・深層学習アプリのつくり方 TensorFlow2対応
- 単行本: 414ページ
- 出版社: ソシム (2020/10/22)
- ISBN-10: 4802612796 (旧版: 4802611641)
- ISBN-13: 978-4802612791 (旧版: 978-4802611640)
なお、書籍のAPENDIXに開発環境のセットアップについて、まとめられています。
- 書籍の購入→ http://amzn.to/2HKmTYd (旧版) https://amzn.to/2sWAMrM
- 書籍の正誤表 → https://kujirahand.com/blog/go.php?764
ソースコードを取得するには？
GitHubを訪問し、画面の右上の緑色のボタン[Code]をクリックし、[Download ZIP]から、最新のソースコードをダウンロードできます。
書籍の最後に第n刷と書かれています。
なお、旧版(Tensorflow1対応版)の場合のソースコードが必要な場合は、こちらよりソースコードをダウンロードしてください。
対応ライブラリのバージョン
Ubuntu18.04用のインストールスクリプトを用意しています。
$ pip install --upgrade scikit-learn==0.22.2.post1
$ pip install --upgrade opencv-python==4.1.2.30
$ pip install --upgrade tensorflow-cpu==2.2.0
$ pip install --upgrade keras==2.4.3
$ pip install --upgrade flask==1.1.1
$ pip install --upgrade pydot==1.4.1
$ pip install --upgrade dlib==19.20.0
リポジトリを取得する場合
Gitでリポジトリを取得する場合、ターミナルで以下のコマンドを実行してください。
git clone https://github.com/kujirahand/book-mlearn-gyomu.git
Vagrantで環境を構築する場合
以下、VagrantにUbuntuをセットアップする方法が参考になります。
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