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
