21CS743 – Deep Learning Model Question Paper-1 with answers
Module-1
1.A] Explain the historical trends in deep learning. – 10 Marks
1.B] Define machine learning. Explain different types of ML algorithms. – 10 Marks
OR
2.B] Write a note on support vector machines and PCA. – 10 Marks
Module-2
3.A] Explain the working of deep forward networks. – 10 Marks
3.B] What is regularization? How does regularization help in reducing overfitting? – 10 Marks
OR
4.A] Explain briefly about the gradient descent algorithm. – 10 Marks
4.B] Discuss the working of backpropagation. – 10 Marks
Module-3
5.A] Explain empirical risk minimization. – 10 Marks
5.B] Explain the challenges that occur in neural network optimization in detail. – 10 Marks
OR
6.A] Explain AdaGrad and write an algorithm for AdaGrad. – 10 Marks
6.B] Explain the Adam algorithm in detail. – 10 Marks
Module-4
7.A] Explain the components of a CNN layer. – 10 Marks
7.B] Explain pooling with network representation. – 10 Marks
OR
8.A] Explain the variants of the CNN model. – 10 Marks
8.B] Explain structured output with neural networks. – 10 Marks
Module-5
9.A] Explain how the recurrent neural network (RNN) processes data sequences. – 10 Marks
9.B] Discuss bidirectional RNNs. – 10 Marks
OR
10.A] Explain the LSTM working principle along with equations. – 10 Marks
10.B] Write a note on speech recognition and NLP. – 10 Marks
pls upload sol for remaining question
It’s updated; you can access!
Sir plz leave answers for remaining 3 modules
It’s updated; you can access!