GTU 116AG01 Deep Learning and Neural Network Old Question Papers & Solutions PDF
Official Gujarat Technological University (GTU) old question papers PDF (Regular & Remedial) and step-by-step solved questions for Deep Learning and Neural Network across 2024 – 2026 examinations.
All Exam Papers (4)
2024 – 2026Other Semester 6 Subjects
Frequently Asked Questions
Are these GTU 116AG01 Deep Learning and Neural Network papers valid for both Regular and Remedial exams?
Yes. Gujarat Technological University (GTU) follows the same 70-mark syllabus, exam blueprint, and 23-mark passing cutoff for both Regular and Remedial (ATKT/backlog) examinations. All 4 past exam sessions (2024 – 2026) serve as comprehensive preparation for either attempt.
How can I download GTU 116AG01 Deep Learning and Neural Network old question papers PDF?
You can download official GTU 116AG01 original question paper PDFs directly from the table above with 1 click and zero deceptive ads or wait timers. Every paper also includes interactive online questions with AI study prompts.
What is the passing mark for GTU Deep Learning and Neural Network (116AG01)?
The external theory exam carries 70 marks. The minimum passing cutoff is 23 marks (33%). Exam duration is 2.5 hours.
What is the GTU exam pattern for 116AG01?
The examination contains 5 main questions of 14 marks each, totaling 70 marks. Questions 2 through 5 provide internal OR choices, typically split into 3-mark, 4-mark, and 7-mark questions.