Deep Learning and Reinforcement Learning Week 7
Course Name: Deep Learning and Reinforcement Learning
Course Link: Deep Learning and Reinforcement Learning
These are answers of Deep Learning and Reinforcement Learning Week 7 Quiz
Practice: Autoencoders
Q1. (True/False) Autoencoders learn a compressed representation of the input by first compressing the input (encoding) and decompressing it back (decoding) to match the original input.
True
False
Answer: True
Q2. All of these are examples of applications of Autoencoders, except:
Anomaly detection
Machine translation
Times series forecasting
Recommender systems
Image-related applications (generation, denoising, processing and compression)
Popularity prediction for social media posts
Answer: Times series forecasting
Q3. Select the correct sequence of an Autoencoder’s working mechanics:
(1): lower dimensional embedding generated
(2): embedding fed through decoder
(3): Compute loss and train the network
(4): reconstruction of original data generated
(5): feed image through encoder
5, 1, 2, 4, 3
5, 2, 3, 1, 4
2, 3, 5, 1, 4
5, 1, 4, 2, 3
Answer: 5, 1, 2, 4, 3
These are answers of Deep Learning and Reinforcement Learning Week 7 Quiz
Final Quiz
Q1. Select the correct option:
Statement 1: Autoencoders are a supervised learning technique.
Statement 2: Autoencoder’s output is exactly the same as the input.
Both statements are false.
Both statements are true.
Statement 1 is true, statement 2 is false.
Statement 2 is true, statement 1 is false.
Answer: Both statements are false.
Q2. Select the correct option:
Statement 1: Autoencoders can be viewed as a generalization of PCA that discovers lower dimensional representation of complex data.
Statement 2: We can implement overcomplete autoencoder by constraining the number of units present in the hidden layers of the neural network.
Statement 2 is true, statement 1 is false.
Both statements are false.
Statement 1 is true, statement 2 is false.
Both statements are true.
Answer: Statement 1 is true, statement 2 is false.
Q3. (True/False) Denoising autoencoders can be used as a tool for feature extraction.
True
False
Answer: True
These are answers of Deep Learning and Reinforcement Learning Week 7 Quiz
Q4. (True/False) An Autoencoder is a form of unsupervised deep learning.
True
False
Answer: True
These are answers of Deep Learning and Reinforcement Learning Week 7 Quiz
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