Consider the statement “the attention mechanism in RNN based Encoder- Decoder architecture
helps the decoder to understand the context of words in a given sentence”. The statement is
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True
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False
A published solution is not available for this question yet.
Suppose that we have a deep Feed Forward Fully Connected Neural Network. The network is
observed to have a high variance. Then, which of the following techniques regularize the
parameter of the network to reduce the high variance?
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Adding L2 norm of weights to the loss function
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Adding a noise to the input samples
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Adding a noise to the output prediction
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Adding more samples to the dataset by augmenting existing samples using
some augmentation techniques
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Dropping hidden layers in a neural network randomly during training
A published solution is not available for this question yet.
Based on the above data, answer the given subquestions.
How many neurons are there in the network. Every neuron in the network has bias associated with
it?
Note: A neuron is a computation unit that takes in some inputs and produce an output.
A published solution is not available for this question yet.
Consider a sentence inside the quote “I may be wrong, and you may be right, and by an effort, we
may get nearer to the truth”
Based on the above data, answer the given subquestions.
A published solution is not available for this question yet.
Consider a sentence inside the quote “I may be wrong, and you may be right, and by an effort, we
may get nearer to the truth”
Based on the above data, answer the given subquestions.
A published solution is not available for this question yet.
**SPG**
**Section Id :** 64065341443
**Section Number :** 5
**Section type :** Online
**Mandatory or Optional :** Mandatory
**Number of Questions :** 33
**Number of Questions to be attempted :** 33
**Section Marks :** 40
**Display Number Panel :** Yes
**Section Negative Marks :** 0
**Group All Questions :** No
**Enable Mark as Answered Mark for Review and**
Yes
**Clear Response :**
**Maximum Instruction Time :** 0
A published solution is not available for this question yet.