Hi everyone!
I’m completely new to deep learning and excited to start learning. I’d love to hear from those who have been in this field for a while.
Looking back, what are the top 2–3 things you wish you had known when you first started? This could be about learning resources, common mistakes, project selection, math prerequisites, or habits that accelerated your progress.
I’d really appreciate any advice that can help me build a strong foundation. Thanks in advance!