Deep Learning

The blend of concepts and hands-on examples makes the material accessible, but I'm curious how much was planned from the start versus developed during writing.

Some explanations felt quite dense, especially around neural network architectures. Was that intentional to push readers' understanding further?

Deep learning is such a vast field—I'm curious about the selection process and what they considered essential for a comprehensive introduction.