Early Stopping for Machine Learning

Introduction

In this project, you will learn how to implement the early stopping technique in machine learning models. Early stopping is a powerful method to prevent overfitting and improve the performance of your models.

🎯 Tasks

In this project, you will learn:

• Understand the concept of early stopping and its main steps
• Implement the early stopping function to determine the optimal stopping epoch
• Test the early stopping function on a sample dataset

🏆 Achievements

After completing this project, you will be able to:

• Split a dataset into training and validation sets
• Monitor the model's performance on the validation set during training
• Define a stopping criterion based on the validation set loss
• Use the early stopping function to optimize your model's training process