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module.exports = {
  title: "What if?",
  description: "Renovamen's messy notebook.",
  head: [
    ["link", { rel: "icon", href: "/favicon.svg" }],
    [
      "meta",
      {
        name: "viewport",
        content: "width=device-width,initial-scale=1,user-scalable=no"
      }
    ]
  ],
  themeConfig: {
    logo: "/favicon.svg",
    smoothScroll: true,
    search: true,
    searchMaxSuggestions: 10,
    sidebarDepth: 5,
    repo: "Renovamen/what-if",
    docsDir: "notes",
    editLinks: true,
    editLinkText: "Edit this page on Github",
    lastUpdated: "Last Updated",
    author: "Renovamen",
    authorLink: "https://zxh.io",
    nav: [
      {
        text: "Stupid AI",
        items: [
          {
            text: "Machine Learning",
            link: "/ai/ml/"
          },
          {
            text: "Deep Learning",
            link: "/ai/dl/"
          },
          {
            text: "Reinforcement Learning",
            link: "/ai/rl/"
          },
          {
            text: "Statistical NLP",
            link: "/ai/nlp/"
          }
        ]
      },
      {
        text: "Math",
        items: [
          {
            text: "Linear Algebra",
            link: "/math/linear-algebra/"
          },
          {
            text: "Information Theory",
            link: "/math/information-theory/"
          }
        ]
      },
      // {
      //   text: "Dev",
      //   link: "/dev/"
      // },
      {
        text: "Papers",
        link: "/papers/"
      },
      {
        text: "Snippets",
        link: "/snippets/"
      }
    ],
    sidebar: {
      "/ai/ml/": [
        {
          title: "基础",
          collapsable: false,
          children: ["basic-ml/loss-function"]
        },
        {
          title: "优化算法",
          collapsable: false,
          children: [
            "optimization/conjugate-gradient",
            "optimization/proximal-gradient"
          ]
        },
        {
          title: "概率图模型",
          collapsable: false,
          children: [
            "pcg/",
            "pcg/bayesian-network",
            "pcg/parameters-learning-no-latent",
            "pcg/parameters-learning-latent",
            "pcg/variational-inference"
          ]
        }
      ],
      "/ai/dl/": [
        {
          title: "前馈神经网络",
          collapsable: false,
          children: [
            "fnn/net-structure",
            "fnn/activation-function",
            "fnn/parameters-estimation",
            "fnn/deep-neural-network"
          ]
        },
        {
          title: "生成模型",
          collapsable: false,
          children: ["generative-models/vae", "generative-models/gan"]
        }
      ],
      "/ai/rl/": [
        {
          title: "基础",
          collapsable: false,
          children: [
            "basic/key-concepts",
            "basic/mdp",
            "basic/bellman-equations",
            "basic/dp"
          ]
        },
        {
          title: "基于值函数的方法",
          collapsable: false,
          children: ["value-based/mc", "value-based/td"]
        }
      ],
      "/ai/nlp/": [
        {
          title: "语言模型",
          collapsable: false,
          children: [
            "language-modeling/",
            "language-modeling/markov-models",
            "language-modeling/trigram-language-models",
            "language-modeling/smoothed-estimation-of-trigram-models"
          ]
        },
        {
          title: "标注问题和隐马尔科夫模型",
          collapsable: false,
          children: [
            "tagging-problems-hmms/",
            "tagging-problems-hmms/pos-tagging-named-entity-recognition",
            "tagging-problems-hmms/gm-and-ncm",
            "tagging-problems-hmms/generative-tagging-models",
            "tagging-problems-hmms/trigram-hmms",
            "tagging-problems-hmms/advanced-material"
          ]
        },
        {
          title: "对数线性模型",
          collapsable: false,
          children: [
            "log-linear-models/",
            "log-linear-models/definitions",
            "log-linear-models/features"
            // 'log-linear-models/parameter-estimation'
          ]
        },
        {
          title: "概率上下文无关文法",
          collapsable: false,
          children: ["pcfgs/", "pcfgs/cfgs"]
        }
      ],
      "/math/linear-algebra/": [
        {
          title: "线性代数",
          collapsable: false,
          children: [
            "matrix-multiplication",
            "matrix-elimination",
            "solution",
            "linear-independence"
          ]
        }
      ],
      "/math/information-theory/": [
        {
          title: "信息论",
          collapsable: false,
          children: ["divergence"]
        }
      ],
      "/dev/": [
        {
          title: "基础",
          collapsable: false,
          children: ["basic/computer-network", "basic/os"]
        }
      ],
      "/papers/": [
        {
          title: "NLP",
          collapsable: false,
          children: ["nlp/kg-application"]
        },
        {
          title: "CV",
          collapsable: false,
          children: ["cv/image-aesthetic-assessment", "cv/reid"]
        },
        {
          title: "DL",
          collapsable: false,
          children: [
            "dl/continual-learning",
            "dl/meta-learning",
            "dl/model-compression",
            "dl/misc"
          ]
        }
      ]
    }
  }
};
