官术网_书友最值得收藏!

Activation functions for deep learning

Activation functions are the integral units of artificial neural networks. They decide whether a particular neuron is activated or not, that is, whether the information received by the neuron is relevant or not. The activation function performs nonlinear transformation on the receiving signal (data).

We will discuss some of the popular activation functions in the following sections.

主站蜘蛛池模板: 陈巴尔虎旗| 英超| 辽宁省| 合江县| 岐山县| 山阴县| 长武县| 蒙阴县| 江西省| 克什克腾旗| 大安市| 赤城县| 万载县| 福海县| 梓潼县| 海门市| 紫金县| 米林县| 静安区| 普定县| 仙居县| 德清县| 德保县| 日土县| 剑河县| 中江县| 凤翔县| 福州市| 静安区| 张家界市| 东光县| 灵宝市| 万宁市| 清徐县| 海兴县| 海林市| 新营市| 镇雄县| 沁源县| 达尔| 田林县|