Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
[https://github.com/brendenlake/omniglot][1] からの説明
ワンショット学習用のOmniglotデータセット
このデータセットには、50の異なるアルファベットの1623種類の異なる手書き文字が含まれています。
1623文字それぞれが、20人の異なる人物によってAmazonのMechanical Turkを介してオンラインで描画されました。
このデータセットを引用する場合
以下の論文を引用してください。
[Lake, B. M., Salakhutdinov, R., and Tenenbaum, J. B. (2015). Human - level concept learning through probabilistic program induction.](http://www.sciencemag.org/content/350/6266/1332.short) _Science_, 350(6266), 1332 - 1338.
このデータセットを可能にしてくれた[Omniglot](http://www.omniglot.com/)の表記体系百科事典と、このデータセットの開発と収集に欠かせなかった[Jason Gross](https://people.csail.mit.edu/jgross/)に感謝します。
PYTHON
Python 2.7.*
scipyとnumpyが必要です
主要なデータファイル（画像のみ）：
images_background.zip
images_evaluation.zip
images_background_small1.zip
images_background_small2.zip
当論文のワンショット分類結果と比較するには、'one - shot - classification'ディレクトリに入り、'all_runs.zip'を解凍して、'run01'、...、'run20'のすべてのフォルダを現在のディレクトリに配置します。修正ハウスドルフ距離を使用したベースラインモデルのデモを行うには、'demo_classification.py'を実行します。
[1]: https://github.com/brendenlake/omniglot
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