vlgiitr/DL_Topics
A curated collection of deep learning interview topics, courses, and resources covering computer vision, NLP, and generative models.
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This repository aggregates links to essential deep learning resources including academic courses (Stanford CS229, CS231n, CS224n), foundational textbooks, mathematics primers, and explanatory blog posts from ML practitioners. It is organized by topic to help candidates prepare for ML interviews.