deeplearning-guide

Why we included this project

This guide is a curated learning path rather than a piece of software, and that's its real value. The author has gone through the overwhelming amount of deep learning material online and organized the genuinely useful resources into a clear sequence: math and Python prerequisites, fundamentals, then building real projects. For someone starting out or changing careers, the hardest part is often figuring out where to begin, and this guide answers that with a linear route while still letting readers skip ahead based on their background. It also includes practical study tips and points to free resources, making it a solid companion for self-directed learners who want structure without paying for a course. Teams mentoring new hires or running internal onboarding could also point people here as a sensible first reading list.