Deep learning becomes confusing when structure appears before meaning.
Deep Learning from Second Principles explains how neurons, layers, and learning mechanisms actually work-without assuming prior coding knowledge or mathematical comfort.
This book builds directly on first principles and prepares readers to understand deep learning systems from the inside, so that code later feels natural rather than intimidating.