Deep Learning and Data Analytics Quiz

What are the main types of layers that make up a CNN?

• Convolutional layer

• Pooling layer

• Fully connected layer

• All of the above

What is the primary use of Recurrent Neural Networks (RNNs)?

• Image recognition

• Natural language processing

• Object detection

• Pattern recognition

What is the advantage of using Autoencoders?

• They require labeled data

• They can handle large batches of data

• They are only used for image data

• They are computationally inexpensive

What is the main problem faced by RNNs known as exploding gradients?

• The model weights grow too large

• The model runs too slowly

• The model cannot learn

• The model is too simple

What is the purpose of the pooling layer in a CNN?

• To increase the dimensionality of feature maps

• To reduce the dimensionality of feature maps

• To connect all nodes

• To apply filters

What is the function of the backpropagation through time (BPTT) algorithm in RNNs?

• To determine the gradients

• To increase the learning rate

• To simplify the model

• To reduce training time

What is a significant disadvantage of Autoencoders?

• They require labeled data

• They can overlook complex data linkages

• They are too simple

• They are not scalable

What is the main advantage of using Variational Autoencoders (VAEs)?

• They can only reconstruct data

• They can generate new sample data

• They require labeled data

• They are computationally inexpensive