CNN Quiz

Which activation function is often used in the output layer of a multi-class classification problem?

• ReLU

• Sigmoid

• Tanh

• Softmax

How does dropout help with overfitting?

• By reducing the size of the dataset

• By adding noise to the input data

• By randomly deactivating neurons during training

• By increasing the number of training epochs

What is a common technique used to ensure that a CNN model generalizes well to unseen data?

• Increasing the size of the network

• Using data augmentation

• Decreasing the learning rate

• Reducing the number of layers

Which of the following methods can be used to handle class imbalance in a dataset?

• Data augmentation

• Dropout

• Convolutional layers

• Regularization

What is the primary purpose of applying padding in convolutional layers?

• To prevent overfitting

• To preserve spatial dimensions of the input data

• To speed up training

• To increase the number of filters

Which regularization technique involves adding a term to the loss function that is proportional to the sum of the absolute values of weights?

• L1 Regularization

• L2 Regularization

• Dropout

• Data Augmentation

Which of the following is NOT a benefit of using transfer learning?

• Reduced training time

• Improved performance on a related task

• Increased model complexity

• Better utilization of pre-trained models

In a CNN, what does the term ‘receptive field’ refer to?

• The size of the input data

• The size of the convolutional kernel

• The portion of the input that each neuron in the feature map is sensitive to

• The number of feature maps produced