- Neural Networks with Keras Cookbook
- V Kishore Ayyadevara
- 79字
- 2021-07-02 12:46:25
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.
推薦閱讀
- AngularJS Testing Cookbook
- Azure IoT Development Cookbook
- Effective C#:改善C#代碼的50個有效方法(原書第3版)
- 造個小程序:與微信一起干件正經事兒
- C++面向對象程序設計(微課版)
- Magento 2 Theme Design(Second Edition)
- RTC程序設計:實時音視頻權威指南
- Instant RubyMotion App Development
- JavaScript動態網頁編程
- Clean Code in C#
- Flink技術內幕:架構設計與實現原理
- Go語言入門經典
- Clojure High Performance Programming(Second Edition)
- 你真的會寫代碼嗎
- Node.js實戰:分布式系統中的后端服務開發