Regularization Techniques

# Regularization Techniques: Preventing Overfitting in Deep Learning Ever trained a deep learning model that performed amazingly on your training data but failed miserably on new, unseen data? You're not alone. This is the dreaded phenomenon of overfitting, and it's a major hurdle in building robust and reliable AI systems. The good news is that there are techniques to combat overfitting, and they fall under the umbrella of **regularization**. This article will equip you with the knowledge and