Deep Learning and Reinforcement Learning Week 6

Course Name: Deep Learning and Reinforcement Learning

Course Link: Deep Learning and Reinforcement Learning

These are answers of Deep Learning and Reinforcement Learning Week 6 Quiz

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Practice: Optimizers and Data Shuffling

Q1. (True/False) Recurrent Neural Networks are a class of neural networks that allow previous outputs to be used as inputs while having hidden states.
True
False

Answer: True

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Q2. (True/False) Recurrent Neural Networks are well suited in applications in which the context is important and needs to be incorporated in the prediction.
True
False

Answer: True

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Q3. These are the two main outputs of a recurrent neural network:
Prediction and state
Prediction and parameters
Prediction and recurrence
Prediction and learning rate

Answer: Prediction and state

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These are answers of Deep Learning and Reinforcement Learning Week 6 Quiz

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Practice: LSTM and GRU

Q1. (True/False) The main motivation behind LSTM is to make it easier to keep information from distant past in current memory without reinforcement.
True
False

Answer: True

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Q2. RNNs are augmented with the following Gate Units:
Enter gate, leave gate, print gate
Input gate, forget gate, output gate
Store gate, remove gate, feed forward gate
Recursive gate, keep gate, reinforce gate

Answer: Input gate, forget gate, output gate

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Q3. Select the correct assertion regarding the gate units of RNNs:
A. The gate units control how long the events will stay in memory.
B. The gate units control if the events will stay in memory.
C. The gate units control how many items can be stored in memory.
D. A and B

Answer: D. A and B

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These are answers of Deep Learning and Reinforcement Learning Week 6 Quiz

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Final Quiz

Q1. (True/False) RNN models are mostly used in the fields of natural language processing and speech recognition.
True
False

Answer: True

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Q2. (True/False) GRUs and LSTM are a way to deal with the vanishing gradient problem encountered by RNNs.
True
False

Answer: True

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Q3. (True/False) GRUs will generally perform about as well as LSTMs with shorter training time, especially for smaller datasets.
True
False

Answer: True

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These are answers of Deep Learning and Reinforcement Learning Week 6 Quiz

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Q4. (True/False) The main idea of Seq2Seq models is to improve accuracy by keeping necessary information in the hidden state from one sequence to the next.
True
False

Answer: True

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Q5. (True/False) The main parts of a Seq2Seq model are: an encoder, a hidden state, a sequence state, and a decoder.
True
False

Answer: False

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These are answers of Deep Learning and Reinforcement Learning Week 6 Quiz

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Q6. Select the correct option, in the context of Seq2Seq models:

The Greedy Search algorithm selects one best candidate as an input sequence for each time step while the Beam Search produces multiple different hypothesis based on the output from the encoder.
The Beam Search algorithm selects one best candidate as an input sequence for each time step while the Greedy Search produces multiple different hypothesis based onthe output from the encoder.
The Greedy Search algorithm selects one best candidate as an input sequence for each time step while the Beam Search produces multiple different hypothesis based on conditional probability.
The Beam Search algorithm selects one best candidate as an input sequence for each time step while the Greedy Search produces multiple different hypothesis based on conditional probability.

Answer: The Greedy Search algorithm selects one best candidate as an input sequence for each time step while the Beam Search produces multiple different hypothesis based on conditional probability.

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These are answers of Deep Learning and Reinforcement Learning Week 6 Quiz

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Q7. Which is the gating mechanism for RNNs that include a reset gate and an update gate?
GRUs
LSTMs
Refined Gate
Complex Gate

Answer: GRUs

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Q8. LSTM models are among the most common Deep Learning models used in forecasting. These are other common uses of LSTM models, except:
Speech Recognition
Machine Translation
Image Captioning
Generating Images
Anomaly Detection
Robotic Control

Answer: Generating Images

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These are answers of Deep Learning and Reinforcement Learning Week 6 Quiz

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