官术网_书友最值得收藏!

Scaling the input dataset

Scaling a dataset is a process where we limit the variables within a dataset to ensure they do not have a very wide range of different values. One way to achieve this is to divide each variable in the dataset by the maximum value of the variable. Typically, neural networks perform well when we scale the input datasets.

In this section, let's understand the reason neural networks perform better when the dataset is scaled.

主站蜘蛛池模板: 湾仔区| 宁化县| 清河县| 镇坪县| 德惠市| 凤阳县| 麻栗坡县| 汤阴县| 巩义市| 布拖县| 旺苍县| 潮州市| 长寿区| 正宁县| 太保市| 南皮县| 泗水县| 衡阳市| 陆良县| 启东市| 梁平县| 高平市| 陆河县| 韶关市| 丰原市| 长泰县| 阳信县| 乌拉特中旗| 塔河县| 尖扎县| 凤凰县| 大化| 义马市| 濉溪县| 金门县| 江华| 仲巴县| 潍坊市| 海丰县| 兴文县| 九江县|