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Questions by sharadyadav1986
0
votes
1
answer
A Neptune Instance is __________________.
asked
Feb 5, 2022
in
Amazon Neptune
neptune-instance
0
votes
1
answer
Neptune is _____________________.
asked
Feb 5, 2022
in
Amazon Neptune
amazon-neptune
0
votes
1
answer
Which of the following databases do not have Apache Tinkerpop Standard?
asked
Feb 5, 2022
in
Amazon Neptune
apache-tinkerpop
0
votes
1
answer
Recurrent Networks work best for Speech Recognition.
asked
Feb 5, 2022
in
Sequence Models
speech-recognition
sequence-model
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votes
1
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GPU stands for __________.
asked
Feb 5, 2022
in
Sequence Models
gpu
sequence-model
0
votes
1
answer
What is the entity that is carried from one timestep to next in RNN?
asked
Feb 4, 2022
in
Sequence Models
timestep-rnn
0
votes
1
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What is meant by sequence data?
asked
Feb 4, 2022
in
Sequence Models
sequence-data
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votes
1
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Which of the following considers the information from previous timestep, current ones, as well as future timesteps?
asked
Feb 4, 2022
in
Sequence Models
timestep
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1
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Which of the following gates in LSTM decides on keeping relevant features from the current input?
asked
Feb 4, 2022
in
Sequence Models
lstm-feature
0
votes
1
answer
Which of the following gates in LSTM decides on eliminating irrelevant features from previous information?
asked
Feb 4, 2022
in
Sequence Models
lstm-feature
0
votes
1
answer
In the case of LSTM, which of the following is used to compute the output of a cell?
asked
Feb 4, 2022
in
Sequence Models
lstm
0
votes
1
answer
Which of the following is the component of GRU?
asked
Feb 4, 2022
in
Sequence Models
gru-component
0
votes
1
answer
The reason feed forward network cannot be used on sequence data is _____________.
asked
Feb 4, 2022
in
Sequence Models
feed-network
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1
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Which of the following is not the feature of GRU?
asked
Feb 4, 2022
in
Sequence Models
gru-features
0
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1
answer
LSTM has a large number of parameters to learn when compared to basic RNN.
asked
Feb 4, 2022
in
Sequence Models
lstm-parameter
0
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1
answer
GRU has more parameters to learn when compared to LSTM.
asked
Feb 4, 2022
in
Sequence Models
learn-parameter
0
votes
1
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Which of the following is not a feature of LSTM?
asked
Feb 4, 2022
in
Sequence Models
lstm-feature
0
votes
1
answer
Which of the following is an additional feature of LSTM when compared to basic RNN?
asked
Feb 4, 2022
in
Sequence Models
lstm-features
0
votes
1
answer
Which of the following gates (in LSTM) decides on keeping relevant features from the current input?
asked
Feb 4, 2022
in
Sequence Models
lstm
0
votes
1
answer
In the case of LSTM, which of the following is used to compute the output of a cell?
asked
Feb 4, 2022
in
Sequence Models
lstm
0
votes
1
answer
In which of the following, the vanishing gradient problem is profound?
asked
Feb 4, 2022
in
Sequence Models
gradient-problem
0
votes
1
answer
The basic RNN fails when _______________________.
asked
Feb 4, 2022
in
Sequence Models
rnn-fails
0
votes
1
answer
Which of the following is not an example of sequential data?
asked
Feb 4, 2022
in
Sequence Models
sequential-data
0
votes
1
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Which of the following holds the memory in RNNs?
asked
Feb 4, 2022
in
Sequence Models
rnn-memory
0
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1
answer
Back propagation through time is computed as ______________.
asked
Feb 4, 2022
in
Sequence Models
back-propogation
0
votes
1
answer
Error function in RNN is computed as _________________.
asked
Feb 4, 2022
in
Sequence Models
error-function
0
votes
1
answer
Which of the following are the applications of RNN?
asked
Feb 4, 2022
in
Sequence Models
rnn-applications
0
votes
1
answer
Feedforward network cannot be used on sequence data because ____________.
asked
Feb 4, 2022
in
Sequence Models
feedforward-network
0
votes
1
answer
The main drawback of basic RNN is __________.
asked
Feb 4, 2022
in
Sequence Models
rnn-drawback
+1
vote
1
answer
Which of the actions can be chosen while adding a new role?
asked
Feb 3, 2022
in
Cloudera Rudiments
cloudera-action
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