Optimizing deep learning models - Python Tutorial

- Achieving optimal performance with deep learning models requires more than just building a deep neural network. It demands an understanding of how to optimize these models to ensure efficiency, stability, and generalization. So how do you actually improve the performance of a deep learning model? How do you prevent it from overfitting? What even is overfitting? What are the optimal hyperparameters or settings for my model? That's what we'll cover in this course. You'll learn not just the theory behind these methods, but also how to implement them effectively in deep learning workflows using Python. My name is Fred Nwanganga. I'm a data scientist, teacher, and author with a passion for helping others unlock the full potential of AI and machine learning. Let's get started.