Deep Learning Quiz

While reconstructing images from embeddings, if we consider deeper layers of the network, how is the image affected?

• The reconstructed image is blur

• A more realistic copy of the original image is reconstructed

• The reconstructed image is sharpened

• The reconstructed image becomes abstract

Which of the following is true for content and style of image w.r.t. Deep Art?

• Content should match and Style shouldn‟t match

• Content shouldn‟t match and Style should match

• Both Content and Style should match

• Both Content and Style shouldn‟t match

It is very easy to fool a CNN. Which of the following statements doesn‟t support the above argument?

• The CNN draws very stringent/strict boundaries for classification.

• The decision boundaries are loosely drawn.

• The input dimension for a certain class is very very large.

• None

Which of the following includes major tasks of NLP?

• Discourse Analysis

• Automatic Summarization

• Machine Translation

• All of the above

Which of the following is used to mapping sentence plan into sentence structure?

• Text planning

• Sentence planning

• Text Realization

• None of the Above

Given a sound clip of a person or people speaking, determine the textual representation of the speech.

• Text-to-speech

• Speech-to-text

• All of the mentioned

• None of the mentioned

is the step in which an input sentence is converted into a hierarchical structure that corresponds to the units of meaning in the sentence.

• Syntactic Processing

• Semantic Processing

• Graph Processing

• All of the mentioned

Suppose that you are training a neural network for classification, but you notice that the training loss is much lower than the validation loss. Which of the following can be used to address the issue (select all that apply)?

• Use a network with fewer layers

• Decrease dropout probability

• Increase L2 regularization weight

• Increase the size of each hidden layer

Which provides a framework for studying object recognition?

• Learning

• Unsupervised learning

• Supervised learning

• None of the mentioned

A recurrent neural network can be unfolded into a full-connected neural network with infinite length

• True

• False