NCA-GENM Exam Dumps | You're training a VQA (Visual Question Answering) model. During evaluation, you notice the model performs

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Question 159/192

You're training a VQA (Visual Question Answering) model. During evaluation, you notice the model performs well on common object recognition tasks but struggles with questions requiring reasoning about object relationships or scene understanding. What are the MOST effective strategies to improve the model's performance on these complex reasoning tasks? (Choose two)

A. Increase the size of the image embedding.

B. Use a more sophisticated attention mechanism that attends to relevant image regions based on the question.

C. Train the model on a larger dataset with more diverse and complex questions/answers.

D. Decrease the learning rate.

E. Replace the LSTM with a simpler RNN in the question encoder.

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