Questions and Answers
What is the significance of using skip connections (residual connections) in deep CNN architectures?
How does the receptive field size in a CNN affect its ability to capture complex features in an input image?
In the context of CNNs, what is the primary purpose of a normalization layer (e.g., Batch Normalization)?
Explain the concept of spatial hierarchy in the feature maps of a convolutional layer and its role in feature learning.
Signup and view all the answers
Discuss the trade-offs and considerations when choosing an activation function for a specific layer in a CNN.
Signup and view all the answers
What challenges may arise when dealing with varying input sizes in a CNN, and how can these challenges be addressed?
Signup and view all the answers
Explain the concept of adversarial attacks in the context of CNNs and potential strategies to mitigate them.
Signup and view all the answers
How does the choice of pooling type (e.g., max pooling, average pooling) impact the performance of a CNN?
Signup and view all the answers
Discuss the role of ethics in the development and deployment of CNNs, focusing on bias and fairness considerations.
Signup and view all the answers
In the context of CNN architectures, explain the trade-offs and challenges associated with increasing the depth of the network.
Signup and view all the answers
