Recent questions and answers in Sequence Models

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Recurrent Networks work best for Speech Recognition.

answered Feb 5, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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GPU stands for __________.

answered Feb 5, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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What is the entity that is carried from one timestep to next in RNN?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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What is meant by sequence data?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Which of the following considers the information from previous timestep, current ones, as well as future timesteps?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Which of the following gates in LSTM decides on keeping relevant features from the current input?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Which of the following gates in LSTM decides on eliminating irrelevant features from previous information?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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In the case of LSTM, which of the following is used to compute the output of a cell?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Which of the following is the component of GRU?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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The reason feed forward network cannot be used on sequence data is _____________.

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Which of the following is not the feature of GRU?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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LSTM has a large number of parameters to learn when compared to basic RNN.

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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GRU has more parameters to learn when compared to LSTM.

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Which of the following is not a feature of LSTM?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Which of the following is an additional feature of LSTM when compared to basic RNN?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Which of the following gates (in LSTM) decides on keeping relevant features from the current input?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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In the case of LSTM, which of the following is used to compute the output of a cell?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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In which of the following, the vanishing gradient problem is profound?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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The basic RNN fails when _______________________.

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Which of the following is not an example of sequential data?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Which of the following holds the memory in RNNs?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Back propagation through time is computed as ______________.

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Error function in RNN is computed as _________________.

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Which of the following are the applications of RNN?

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Feedforward network cannot be used on sequence data because ____________.

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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The main drawback of basic RNN is __________.

answered Feb 4, 2022 in Sequence Models by sharadyadav1986 (30.5k points)

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Autoencoders cannot be used for Dimensionality Reduction.

answered Jul 18, 2020 in Sequence Models by Hodge (2.6k points)

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How do RNTS interpret words?

answered Jul 18, 2020 in Sequence Models by Hodge (2.6k points)

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Autoencoders are trained using _____________________.

answered Jul 18, 2020 in Sequence Models by Hodge (2.6k points)

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The rate at which cost changes with respect to weight or bias is called __________________.

answered Jul 18, 2020 in Sequence Models by Hodge (2.6k points)

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