Which SHAP explainer is suitable for this Keras model?

Complete the missing line to compile a model using the SGD optimizer with a learning rate of 0.01.

Which layer should replace the blank to activate the normalized output?

Which method is used to train the discriminator once on a batch?

If we want to fine-tune only a specific block of layers, which attribute must be set to True?

Which component in Transformer architecture is responsible for capturing long-range dependencies?

What will be the output of the following single-layer perceptron for the input [1, 0]?

Which function is missing in the last line of code?

You’re building a CNN to classify medical X-ray images (e.g., pneumonia vs normal). You apply Grad-CAM to understand which regions of an input image contribute most to the "pneumonia" class.

The Grad-CAM computation uses the last convolutional layer of the model:

What is the role of pooled_grads in the Grad-CAM explanation?

Which attribute correctly completes the statement to get the output shape?