What Deep Learning Is and Why It Matters

This lesson defines deep learning as a practical approach to machine learning that uses layered neural networks to learn useful representations from data. It explains how deep learning differs from traditional programming and simpler machine learning, why scale matters, and why modern AI systems increasingly rely on neural networks.

Learners will come away with a clear mental model of what deep learning does, what makes it powerful, where it is useful, and why it is not magic. The lesson stays conceptual and saves mathematical details, model architectures, training mechanics, and evaluation methods for later lessons.