Q.1
14 Marks(a)
Explain the term : axon, cell body, synapse and dendrite
(c)
Explain different architectures of ANN with diagram.
Gujarat Technological UniversitySummer 2026 examination
GTU 116AG01 Deep Learning and Neural Network Summer 2026 Question Paper & PDF
B.E. · Computer Engineering · Semester 6 · Subject code 116AG01
- Total
- 70 marks
- To pass
- 23 marks (33%)
- Duration
- 2.5 Hours 10:30 AM – 1:00 PM
- Questions
- 5 with internal choice
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10 of 25 questions on this paper were also asked in other years. Each is marked below with the years it appeared.See all 14 repeated 116AG01 questions, most asked first
Q.2
14 Marks(a)
Explain the concepts of overfitting and underfitting in neural network.
Also asked in Summer 2024 Q5a OR
(b)
Compute the output of the following neural network model having (2, 2, 1) structure with linear activation function in the input layer and sigmoidal in the output layer, if the input vector is [1.2, 0.5], weight vectors are [0.04, 0.05; 0.2 0.02] and [0.06 0.15] respectively.
(c)
What is the role of activation functions in the context of neural network training? Explain any three activation function in details.
Also asked in Summer 2025 Q2c, Summer 2024 Q1c
OR
(c)
(
i)Describe the concept of batch normalization.
ii)Explain the role of hyperparameter tuning in neural network.
Q.3
14 Marks(a)
Define convolutional neural networks. Write the application of convolution operation.
(b)
How does pooling work? Explain with suitable example.
(c)
Draw and Explain architecture of CNN.
Also asked in Winter 2025 Q3b, Summer 2025 Q4c, Summer 2024 Q3c OR
OR
(a)
Explain Stride and padding.
(b)
Explain convolutional operation and its advantages.
(c)
Briefly explain the two major steps namely Feature learning and Classification of CNN.
Q.4
14 Marks(a)
Write advantages of recurrent neural network.
OR
(a)
What is the advanced use of recurrent neural network?
Q.5
14 Marks(a)
Define Accuracy, Precision and Recall
(b)
Explain TensorFlow Architecture.
(c)
What is tensorflow? Explain types of tensor in detail.
Also asked in Winter 2025 Q5b OR, Summer 2025 Q5b OR, Summer 2024 Q4b OR
OR
(a)
Define Tensor, Rank of Tensor and shape of Tensor
(c)
What are the limitation of TensorFlow? Explain eager execution and graph execution mode in TensorFlow.
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Other Semester 6 subjects
BE Computer
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About this paper
Official Gujarat Technological University (GTU) examination paper for Deep Learning and Neural Network (Summer 2026, B.E. · Computer Engineering, Sem 6). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.
Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.