BSDA5013 · Data Science · BS Degree Level

Deep Learning Practice previous year papers

Quiz Space has 18 Deep Learning Practice previous year papers from the IIT Madras BS Data Science programme — 5 Quiz 1, 6 Quiz 2 and 7 End Term — from the September 2024 term to the May 2026 term. Every paper shows its questions with the answer key, and each can be taken as a timed mock test on the real exam screen. Free, no sign-up needed.Also searched as DLP · course code BSDA5013.

Papers: 18
Questions: 346
Terms: 6
Latest: 13 Sept 2026

Updated 25 Sept 2026

Deep Learning Practice Quiz 1 PYQ

All 5 papers

5 Deep Learning Practice Quiz 1 papers from 2024–2026. Quiz 1 is held at the end of week 4 of the term and covers the content of weeks 1–4.

Deep Learning Practice Quiz 1 papers
Paper	Term	Questions	Marks	Time	Practise
15 Mar 2026	January 2026 term	19	50	120 min	Mock test
26 Oct 2025	September 2025 term	15	50	120 min	Mock test
13 Jul 2025	May 2025 term	16	50	120 min	Mock test
23 Feb 2025	January 2025 term	16	50	120 min	Mock test
27 Oct 2024	September 2024 term	15	50	120 min	Mock test

Deep Learning Practice Quiz 2 PYQ

All 6 papers

6 Deep Learning Practice Quiz 2 papers from 2024–2026. Quiz 2 is held at the end of week 8 and covers the content of weeks 1–8, with the weight on weeks 5–8.

Deep Learning Practice Quiz 2 papers
Paper	Term	Questions	Marks	Time	Practise
16 Aug 2026	May 2026 term	19	48	120 min	Mock test
12 Apr 2026	January 2026 term	18	52	120 min	Mock test
23 Nov 2025	September 2025 term	15	50	120 min	Mock test
3 Aug 2025	May 2025 term	11	50	120 min	Mock test
16 Mar 2025	January 2025 term	19	50	120 min	Mock test
1 Dec 2024	September 2024 term	15	50	120 min	Mock test

Deep Learning Practice End Term PYQ

All 7 papers

7 Deep Learning Practice End Term papers from 2024–2026. The End Term exam covers the whole course, all twelve weeks, in 1.5 hours per course.

Deep Learning Practice End Term papers
Paper	Term	Questions	Marks	Time	Practise
13 Sept 2026 · Set 1	May 2026 term	31	50	180 min	Mock test
13 Sept 2026 · Set S2	May 2026 term	31	50	180 min	Mock test
10 May 2026	January 2026 term	22	100	180 min	Mock test
31 Aug 2025 · Set QDB1	May 2025 term	22	100	180 min	Mock test
31 Aug 2025 · Set QDB3	May 2025 term	22	100	180 min	Mock test
13 Apr 2025	January 2025 term	20	100	180 min	Mock test
22 Dec 2024	September 2024 term	20	100	180 min	Mock test

Frequently asked questions

Where can I find Deep Learning Practice previous year question papers?

All 18 Deep Learning Practice papers are on this page, grouped by exam: 5 Quiz 1, 6 Quiz 2 and 7 End Term. Open any paper to read it with answers, or start it as a timed mock test.

Are the Deep Learning Practice PYQs free, and do they have answers?

Yes. Every paper is free to read and practise, with the correct option marked for each question. Signing in with Google is only needed to save your attempts and see your analysis.

Which is the latest Deep Learning Practice paper?

The newest is the End Term of 13 Sept 2026 (May 2026 term). New papers are added after each term’s exams.

How many Deep Learning Practice Quiz 1 papers are there?

5 Quiz 1 papers from 2024–2026, with 81 questions in all. See every Deep Learning Practice Quiz 1 paper.

How many Deep Learning Practice Quiz 2 papers are there?

6 Quiz 2 papers from 2024–2026, with 97 questions in all. See every Deep Learning Practice Quiz 2 paper.

How many Deep Learning Practice End Term papers are there?

7 End Term papers from 2024–2026, with 168 questions in all. See every Deep Learning Practice End Term paper.

Is Quiz Space an official IIT Madras website?

No. Quiz Space is an independent practice site by Unknown IITians. The papers are IIT Madras BS papers from past terms; for the syllabus and grading rules, see the official site at study.iitm.ac.in.

Deep Learning Practice is a BS Degree Level course of the IIT Madras BS in Data Science and Applications programme (course code BSDA5013). Quiz Space by Unknown IITians is an independent study resource and is not affiliated with IIT Madras. Also see every Quiz 1 paper across subjects.