Deep Learning Stack of Blogs

I am documenting a series of blogs based on what I have learned throughout my journey. These blogs capture the experiments, insights, and concepts I explored. Since my primary focus is computer vision rather than large language models (LLMs), the content leans more towards vision-centric topics.

Blog Topic Link
Auto Deep Learning: Automating training and learning from model failures AutoDL
Building Better Deep Learning Models: Recovering and improving models after failures Building Better DL Model
Movie set as a 3D world: Pinga / HY-World 2.0 reconstruction write-up Movie Digital Twin

Notes

The following are my personal notes and learning resources. These documents contain my study notes, insights, and references on various topics: