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relus

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Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and R…

  • Updated Dec 13, 2017
  • Jupyter Notebook

本AI辅助规范遵循OpenCodeRules标准,消除AI编码痕迹、支持自定义专属设计风格,适配个人、团队及国企海外项目,可满足网页、后台系统及VibeCoding开发场景。规范支持多语言、多主流技术框架AI辅助编程,涵盖:JavaScript/TypeScript(Vue、React、Next.js)、Python(FastAPI、Django)、Java(SpringBoot)、Go(Gin)、Node.js(NestJS、Express)、PHP(Laravel)。

  • Updated Aug 29, 2026
  • JavaScript

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