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
# 背景
機械学習のニューラルネットワークを学習している際、私はAndrej Karpathyによる[cn231](http://cs231n.github.io/neural-networks-case-study/)コースで独創的な2次元散布図パターンを発見しました。3種類の点に対する決定境界は直線にはなりません。彼はこれを使って線形分類器とニューラルネットワーク分類器の動作を比較しています。多くの場合、私たちは予測または分類アルゴリズムの正確率で満足することが多いですが、可視化ツールは分類器の傾向や動作についての直感を助けます。この説明の*最後の例で奇妙なこと*を見つけるのに、これは間違いなく役立ちました。あなたの好みの方法やアルゴリズムはこの入力に対してどのように動作しますか？
# 内容
- 2次元散布訓練パターンは、(X,Y)座標を持つ300個の点の集合で、 `-1
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
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