官术网_书友最值得收藏!

Notation

Let the data be of the form , where:

  • , (number of classes = 2 because it's a binary classification)

  • is 'n' dimensional, that is, (refers to the preceding diagram)

  • The number of training examples is m. Thus the training set looks as follows:

    • .

    • m = size of training dataset.

    • And, since , where, each .

    • Therefore, is a matrix of size n * m, that is, number of features * number of training examples.

    • , a vector of m outputs, where, each .

    • Parameters : Weights , and bias , where and is a scalar value.

主站蜘蛛池模板: 泸溪县| 安多县| 榆树市| 黎城县| 巴林右旗| 定日县| 平和县| 游戏| 宝坻区| 乌拉特前旗| 剑河县| 大安市| 新蔡县| 黄平县| 通河县| 武夷山市| 沙田区| 灵宝市| 峨眉山市| 宜川县| 鹿泉市| 托克逊县| 沙田区| 浦江县| 姚安县| 东城区| 博野县| 资源县| 抚远县| 铜鼓县| 商城县| 寻甸| 布拖县| 鸡泽县| 武安市| 天柱县| 泾源县| 陕西省| 河间市| 浑源县| 武穴市|