6CSM1 B2 QUIZ

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What is the primary advantage of using pre-trained CNN models?

• Faster training times

• Smaller model size

• Improved performance on new tasks

• Reduced memory usage

How do dropout layers contribute to training CNNs?

• They reduce the size of feature maps

• They prevent overfitting by deactivating neurons

• They introduce non-linearity into the network

• They increase the number of training epochs

Which of the following is a common application of Graph CNNs?

• Social Network Analysis

• Image Classification

• Machine Translation

• Time Series Forecasting

What is the purpose of the padding technique in CNNs?

• Increase model complexity

• Improve computational efficiency

• Enhance feature extraction

• Preserve spatial dimensions

What is the primary function of the Softmax activation function?

• Produce probability distributions

• Introduce non-linearity

• Compute gradients during backpropagation

• Reduce spatial dimensions

Which layer type helps reduce overfitting in a CNN?

• Convolutional layer

• Dropout layer

• Fully connected layer

• Pooling layer

  
  

Which activation function is commonly used in the hidden layers of a CNN?

• Sigmoid

• Tanh

• ReLU (Rectified Linear Unit)

• Softmax

What is the primary purpose of a Graph Convolutional Network (GCN)?

• To process grid-structured data like images

• To process sequential data like text

• To perform reinforcement learning tasks

• To learn representations of nodes in a graph

What type of data structure is most suitable for Graph CNNs?

• 
  Non-Euclidean Data

• Tabular Data
  

• Grid-structured Data

• Sequential Data