Basic - Tag - Xiaopeng Xuhttps://xu-xp.com/tags/basic/Basic - Tag - Xiaopeng XuHugo -- gohugo.ioenxiaopeng.xu@kaust.edu.sa (Xiaopeng Xu)xiaopeng.xu@kaust.edu.sa (Xiaopeng Xu)Thu, 11 Jun 2026 00:00:00 +0000How I add notes to this sitehttps://xu-xp.com/posts/adding-notes/Thu, 11 Jun 2026 00:00:00 +0000xiaopeng.xu@kaust.edu.sa (Xiaopeng Xu)https://xu-xp.com/posts/adding-notes/<p>A quick reference (mostly to my future self) for adding a new note here, and how the <strong>Notes</strong> section indexes them automatically.</p>Hello world to my new personal website!https://xu-xp.com/posts/hello-world/Wed, 10 Jun 2026 00:00:00 +0000xiaopeng.xu@kaust.edu.sa (Xiaopeng Xu)https://xu-xp.com/posts/hello-world/“Hello World!” Welcome to my new personal website.

This site was previously hosted on Google Sites, and now all content has been migrated to GitHub Pages with Hugo.

A new “Notes” sections is supported in this website. So I hope to share more updates about my research and explorations here.

]]>DL 深度学习笔记https://xu-xp.com/posts/deep_learning/Mon, 14 Jun 2021 00:00:00 +0000xiaopeng.xu@kaust.edu.sa (Xiaopeng Xu)https://xu-xp.com/posts/deep_learning/NN 基础

二分类问题

  • 对 64x64x3 的图片，判断是否有猫（1/0）

基本标记

  • X 的每一行对应的是一个样本，每一列对应的是一个特征。

逻辑回归 (Logistics regression)

  • ]]>Metrics 评估指标https://xu-xp.com/posts/ml_metrics/Fri, 14 May 2021 00:00:00 +0000xiaopeng.xu@kaust.edu.sa (Xiaopeng Xu)https://xu-xp.com/posts/ml_metrics/

    准确性 Accuracy

    Acc. = (TP + TN)/(TP + FP + TN + FN)

    精确性 Precision or Positive Predictive Value (PPV)

    PPV = TP / (TP + FP)

    召回率/敏感性 Sensitivity, Recall, or True Positive Rate (TPR)

    TPR = TP / (TP + FN)

    特异性/选择性 Specificity, Selectivity, or True Negative Rate (TNR)

    TNR = TN / (TN + FP)

    Negative Predictive Value (NPV)

    NPV = TN / (TN + FN)

    ]]>