# 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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