Improving Deep Neural Networks - Week2
Week2 優化算法 上節課我們主要介紹瞭如何建立一個實用的深度學習神經網絡。包括Train/Dev/Test sets的比例選擇，Bias和Variance的概念和區別：Bias對應欠擬合，Variance對應過擬合。接着，我們介紹了防止過擬合的兩種方法：L2 regularization和Dropout。然後，介紹瞭如何進行規範化輸入，以加快梯度下降速度和精度。然後，我們介
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相關文章
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