AD-601 · Deep Learning/Unsolved PYQ Paper
AD-601 Deep Learning - Dec 2024 Question Paper
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Unit 17 MarksaExplain the Single Layer Neural Network architecture with suitable activation function.
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Unit 17 MarksbExplain Back Propagation with its algorithm. Write application areas where it is used.
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Unit 17 MarksaWhat is Deep Learning? Explain its uses and application and history.
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Unit 17 MarksbWhat is the relationship between SVD and PCA? How does SVD reduce dimensionality?
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Unit 17 MarksaWhat is FFN in deep learning? How do you implement feed forward neural networks?
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Unit 27 MarksbWhat are the problems with gradient descent? What are the three types of gradient descent?
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Unit 17 MarksaExplain Better Weight Initialization methods.
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Unit 37 MarksbDiscuss the architecture of Convolutional Neural Network (CNN).
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Unit 37 MarksaExplain ResNet and LeNet in detail.
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Unit 47 MarksbExplain the architecture of Deep Recurrent Neural Network.
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Unit 47 MarksaHow LSTM networks solve the problem of vanishing gradients?
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Unit 47 MarksbHow encoding and decoding is possible in RNN? Explain it.
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Unit 47 MarksaWrite down the applications of Deep RNN in image processing.
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Unit 47 MarksbDefine Natural Language Processing. What are the 4 elements of NLP?
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Unit 55 MarksaRestricted Boltzmann Machine
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Unit 55 MarksbMADE
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Unit 54 MarkscDeep Belief Networks
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