GTU · BE Computer · Semester 6
GTU 116AG01 Deep Learning and Neural Network Old Question Papers 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.
14 questions GTU asked more than onceAsked in all 4 papers: Draw and Explain architecture of CNN.See listExam papers
Most repeated questions
14 questions GTU set in two or more of 4 papers, most repeated first. Tap a year to open that paper at the question.
Draw and Explain architecture of CNN.
Summer 2026 Q3c Winter 2025 Q3b Summer 2025 Q4c Summer 2024 Q3c OR
What is tensorflow? Explain types of tensor in detail.
Summer 2026 Q5c Winter 2025 Q5b OR Summer 2025 Q5b OR Summer 2024 Q4b OR
What is the role of activation functions in the context of neural network training? Explain any three activation function in details.
Explain LSTM with diagram.
Discuss steps to implement CNN using TensorFlow.
Write steps to train RNN.
Draw and Explain architecture of RNN.
Explain the concept of perceptron with a neat diagram.
Explain types of RNN.
State difference between machine learning and deep learning
Show 4 more repeated questionsHide the 4 more
Write the difference between CNN and RNN.
Describe the concept of batch normalization.
Explain the concepts of overfitting and underfitting in neural network.
Compare Artificial Neural Network with Biological Neural Network.
Which branches take this subject
GTU's syllabus lists 116AG01 for 1 branch. One set of papers serves all of them.
Semester 6: 1 branch
Minor/Honors -Artificial Intelligence & Machine Learning
Other Semester 6 subjects
Common 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.