## What is a Loss Function?

Exploring Loss Functions in Machine Learning: Their Role in Model Optimization, Types, and Impact on Robustness and Regularization.

Exploring Loss Functions in Machine Learning: Their Role in Model Optimization, Types, and Impact on Robustness and Regularization.

Dive into Binary Cross-Entropy: A Vital Loss Function in Machine Learning. Discover Its Applications, Mathematics, and Practical Uses.

Prevent overfitting in machine learning models with effective techniques to improve generalization and model performance.

Gradient method explained with examples, learning rate and problems of gradient descent.

Artificial neural networks simply explained, including building blocks, layer types, and examples.