PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #52
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #52: Real Exam Question with Answer & Explanation
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Question
You are training a Resnet model on AI Platform using TPUs to visually categorize types of defects in automobile engines. You capture the training profile using the Cloud TPU profiler plugin and observe that it is highly input-bound. You want to reduce the bottleneck and speed up your model training process. Which modifications should you make to the tf.data dataset? (Choose two.)
Options
- AUse the interleave option for reading data.
- BReduce the value of the repeat parameter.
- CIncrease the buffer size for the shuttle option.
- DSet the prefetch option equal to the training batch size.
- EDecrease the batch size argument in your transformation.
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