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
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
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
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
These are answers of Deep Learning and Reinforcement Learning Week 6 Quiz
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
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
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
These are answers of Deep Learning and Reinforcement Learning Week 6 Quiz
Final Quiz
Q1. (True/False) RNN models are mostly used in the fields of natural language processing and speech recognition.
True
False
Answer: True
Q2. (True/False) GRUs and LSTM are a way to deal with the vanishing gradient problem encountered by RNNs.
True
False
Answer: True
Q3. (True/False) GRUs will generally perform about as well as LSTMs with shorter training time, especially for smaller datasets.
True
False
Answer: True
These are answers of Deep Learning and Reinforcement Learning Week 6 Quiz
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
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
These are answers of Deep Learning and Reinforcement Learning Week 6 Quiz
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.
These are answers of Deep Learning and Reinforcement Learning Week 6 Quiz
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
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
These are answers of Deep Learning and Reinforcement Learning Week 6 Quiz
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