Cousera - Machine Learning for Neural Networks - 課程筆記 - Week 9
Overview of ways to improve generalization 過擬合出現的緣由 訓練數據包含了輸入到輸出的規律性信息，同時還存在着必定的採樣錯誤 模型擬合數據時沒法保證擬合到「正確的」規律上來，於是均進行擬合 如一個模型對錯誤的規律擬合的過好了，就會致使其泛化能力很是差 避免過擬合的方法 獲取更多的數據（有了更多數據，過擬合問題天然會緩解） 必定程度地限制模型的能力，讓其可
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相關文章
- 1. Cousera - Machine Learning for Neural Networks - 課程筆記 - Week 3
- 2. Cousera - Machine Learning for Neural Networks - 課程筆記 - Week 7
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