# Recommended reading order

Subject: Deep Learning

Exam: MT2

Reader: https://deep-learning-study-room.vercel.app/#mt2/read/1/mt2-c1-s1

Canonical: https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c1-s1/

Study **Optimization algorithms → Regularization and generalization → CNN calculations → CNN architectures**. If a symbol or step is unfamiliar, use the Mathematics revision and Neural-network foundations chapters as short prerequisite references, then return to the Unit 3–4 lesson.

For every numerical, reproduce: **Given → To find → formula and why → numbered working → final answer**. For theory, learn the technical definition, mechanism, labelled architecture or relevant formula, advantages/limitations and a concrete example where appropriate.

**Hinglish cue:** Unit 3 mein gradient aur update ka order; Unit 4 mein window, shape aur parameter count alag rakho. Theory dono units ki karni hai.
