Data Science with Generative AI - Volume 4: Deep Learning

Volume 4 — Deep Learning

Chapters 41–44. A focused, 78-page volume that builds neural networks from first principles, then moves into PyTorch, computer vision, and sequence models — the foundation everything in the Generative AI volume is built on. Short by design: this is the conceptual bridge between classical ML and modern GenAI, not a full deep-learning specialization.

Who it's for: readers who've built classical ML models and now need to understand what's actually happening inside a neural network before large language models stop feeling like magic.

What you get: PDF + EPUB of Volume 4. (Book + Resources adds runnable code files/notebooks for every chapter.)