Understanding the SGD optimization from scratch

版本 1.0.0 (23.8 KB) 作者: Mohammad Jamhuri
In this program, we train a single-layer neural network to classify the Iris dataset using Stochastic Gradient Descent (SGD) from scratch.
0.0
(0)
91.0 次下载
更新时间 2023/4/19

查看许可证

In this code, we demonstrate a step-by-step process of using Stochastic Gradient Descent (SGD) to optimize the loss function of a single-layer neural network. Additionally, we build the neural network from scratch, providing a clear understanding of its inner workings and implementation.

引用格式

Mohammad Jamhuri (2025). Understanding the SGD optimization from scratch (https://ww2.mathworks.cn/matlabcentral/fileexchange/128043-understanding-the-sgd-optimization-from-scratch), MATLAB Central File Exchange. 检索时间: .

MATLAB 版本兼容性
创建方式 R2023a
兼容任何版本
平台兼容性
Windows macOS Linux
标签 添加标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

版本 已发布 发行说明
1.0.0