# Examination schedule and scope

Subject: Deep Learning

Exam: MT2

Reader: https://deep-learning-study-room.vercel.app/#mt2/read/1/mt2-c1-s0

Canonical: https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c1-s0/

The supplied timetable schedules Deep Learning MT2 for **Tuesday, 13 October 2026, 3:00–4:00 pm**, for **10 marks**.

**Faculty update received on 12 October:** prepare **Unit 3 (optimization and regularization) and Unit 4 (CNNs)** for theory and numericals. The message highlights possible Unit 3 numericals and two Unit 4 numericals. The 2-mark questions can combine theory and a numerical or be theory only.

**Three 3-mark choices, as clarified:** either **Numerical + Numerical + Theory**, or **one mixed Theory-and-Numerical question + one Numerical + one Theory question**. Their exact order and numerical topics are not specified.

The common M2 layout already supplied is **Q1(a,b), 2 marks each, compulsory; answer any two of Q2–Q4, 3 marks each**. Our mocks use this layout. Their exact topic allocation is practice design, not an official prediction.

Maths, losses, gradients and the neuron model remain prerequisite explanations. **RNN is not named in this faculty update and is now kept in the TEE route, outside this focused MT2 reading path.**