Idea Points (data) in same cluster are near each others, or are connected by each others. So: For a distance d,every points in a cluster always can find some points in the same cluster. Distances between points in difference clusters are bigger than…

在该文章的两大创新点:一个是PReLU,一个是权值初始化的方法.下面我们分别一一来看. PReLU(paramter ReLU) 所谓的PRelu,即在 ReLU激活函数的基础上加入了一个参数,看一个图就明白了: 右边的图上多了一个参数吧,在负半轴上不再为0,而是一个可以学习的斜率.  很容易明白.实验结果显示该方法可以提高识别率. 权值初始化的方法: 对于文中的权值初始化问题:主要思想是跟随了"Xavier"的初始化的思想,研究了第一层layer的响应的 variance.下面的推导…

What are the advantages of different classification algorithms? For instance, if we have large training data set with approx more than 10000 instances and more than 100000 features ,then which classifier will be best to choose for classification Want…

转载 https://handong1587.github.io/deep_learning/2015/10/09/recognition.html#facenet Classification / Recognition Published: 09 Oct 2015 Category: deep_learning Jump to... Papers Multi-object Recognition Multi-Label Classification Face Recognition Deep…

metrics是sklearn用来做模型评估的重要模块,提供了各种评估度量,现在自己整理如下: 一.通用的用法:Common cases: predefined values 1.1 sklearn官网上给出的指标如下图所示: 1.2除了上图中的度量指标以外,你还可以自定义一些度量指标:通过sklearn.metrics.make_scorer()方法进行定义: make_scorer有两种典型的用法: 用法一:包装一些在metrics中已经存在的的方法,但是这种方法需要一些参数,例如fbeta…

概述 前面几节讲的是linear regression的内容,这里咱们再讲一个非常常用的一种模型那就是classification,classification顾名思义就是分类的意思,在实际的情况是非常常用的,例如咱们可以定义房价是否过高,如果房价高于100万,则房价过高,设置成true:如果房价低于100万,则房价不高,target就可以设置成false.这里的target就只有2种,分别只有True和False,而不像咱们的的linear regression那样target是连续的.在实际…

k-nearest neighbors algorithm - Wikipedia https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm Not to be confused with k-means clustering. In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method used for cla…

Abstract - Undersampling is a popular method in dealing with class-imbalance problems, which uses only a subset of the majority class and thus is very efficient. The main deficiency is that many majority class examples are ignored. We propose two alg…

The information in this document is useful if you are trying to programmatically find a built-in command, menu, or toolbar. The ICommandBars::Find and ICommandBar::Find methods can be used to get a reference to a specific toolbar, menu, or command. B…

A Gentle Guide to Machine Learning Machine Learning is a subfield within Artificial Intelligence that builds algorithms that allow computers to learn to perform tasks from data instead of being explicitly programmed. Got it? We can make machines lear…