The Deep Learning Revolution
You've learned the fundamentals of AI and machine learning—now it's time to explore the technology driving today's AI breakthroughs. Deep learning powers the systems you interact with daily: from the voice assistant on your phone, to the language models behind ChatGPT.
Deep learning isn't fundamentally different from the machine learning concepts we've covered—it uses the same mathematical foundations of functions, matrices, and optimization. The breakthrough lies in scale and architecture: stacking many layers of simple processing units creates systems capable of learning incredibly complex patterns from raw data.
In this chapter, we'll journey from the humble perceptron to modern neural networks, exploring how simple mathematical concepts combine to create artificial intelligence. You'll discover why adding more layers unleashes new capabilities, how different architectures excel at different tasks, and why training these systems remains both an art and a science.