H13-321_V2.5 무료 덤프문제 온라인 액세스

Which of the following has never been used as a method in the history of NLP?

• A.Recursion-based method
• B.Rule-based method
• C.Statistics-based method
• D.Deep learning-based method

Which of the following statements about the functions of layer normalization and residual connection in the Transformer is true?

• A.In shallow networks, residual connections are beneficial, but they aggravate the vanishing gradient problem in deep networks.
• B.Residual connections primarily add depth to the model but do not aid in gradient propagation.
• C.Layer normalization accelerates model convergence and does not affect model stability.
• D.Residual connections and layer normalization help prevent vanishing gradients and exploding gradients in deep networks.

Which of the following statements about the multi-head attention mechanism of the Transformer are true?

• A.The multi-head attention mechanism captures information about different subspaces within a sequence.
• B.The concatenated output is fed directly into the multi-headed attention mechanism.
• C.Each header's query, key, and value undergo a shared linear transformation to obtain them.
• D.The dimension for each header is calculated by dividing the original embedded dimension by the number of headers before concatenation.

Which of the following applications are supported by ModelArts ExeML?

• A.Anomalous sound detection in production or security scenarios
• B.Dress code conformance monitoring in campuses
• C.Automatic offering classification
• D.Predictive maintenance of manufacturing equipment

The accuracy of object location detection can be evaluated using the intersection over union (IoU) value, which is a ratio. The denominator is the overlapping area between the prediction bounding box and ground truth bounding box, and the numerator is the area of union encompassed by both boxes.

• A.TRUE
• B.FALSE