跳转至

人生魔法书

Metrics

人生魔法书

首页
首页
- Research
- Math
- Machine Learning
- Computer Graphics
- Computer Vision
- Programming
- Language
- Art
- Music
Research
Research
- Writing papers
- Latex
- Presentation
- Projects
- Thesis
Math
Math
- Probability Theory
- Nonliner Optimization
  Nonliner Optimization
Machine Learning
Machine Learning
- Part -1 Data Analysis
  Part -1 Data Analysis
  - Data Analysis
  - scikit-learn
  - pandas
  - Jupyter
  - numpy
    numpy
    
    numpy
    
    array
- Part 0 Math Basics
  Part 0 Math Basics
  - Math Basics
  - inbox
  - functions
  - Derivatives
  - Integrals
  - matrix
  - Probability
  - Metrics Metrics
    目录
    
    MAP
  - Distance
  - Terminology
- Part 1 Basic Concepts
  Part 1 Basic Concepts
- Part 2 NN from scratch
  Part 2 NN from scratch
  - NN from scratch
  - functions
  - activation function
  - loss function
  - NN Structure
  - Regularized Networks
  - RNN
  - CNN
  - Criterion
  - Backbone
  - Terms
  - boost
  - Attention
- Part 3 Problems
  Part 3 Problems
- Part 4 NN Programming
  Part 4 NN Programming
  - NN Programming
  - keras
  - Theano
  - Tensorflow
  - caffe
  - layer
  - matlab
  - Pytorch
  - method
- Part 6 Applications
  Part 6 Applications
Computer Graphics
Computer Graphics
- Basics
  Basics
- Data Analysis
  Data Analysis
- Tasks
  Tasks
Computer Vision
Computer Vision
- Image Processing Basics
  Image Processing Basics
- python programming
  python programming
  - python programming
  - opencv
  - matplotlib
  - scikit-image
  - visualize
  - FROC
  - patch
- Problems
  Problems
- Practices
  Practices
Programming
Programming
- 编程
- Python Handbook
  Python Handbook
  - 基础
  - 文件
  - 多线程
  - 数据库
  - 编码
  - 调试
  - 日志
  - 模块
  - 面向对象编程
  - 错误和异常
  - cython
  - 高级特性
  - 函数式编程
- linux
  linux
  - linux
  - train&test
- Windows
Language
Language
- English
  English
  - suffix
  - prefix
  - verb
  - synonym
  - math
  - material
- 日本語
- Francis
- others
Art
Art
- color
- light
- 摄影
Music
Music
- Inbox
- 古琴

Evaluation Metrics¶

MAP¶

Evaluation of ranked retrieval results

评论

作者: Rowl1ng