Question 145 of 280
Single answerYou have trained a DNN regressor with TensorFlow to predict housing prices using a set of predictive features. Your default precision is tf.float64, and you use a standard TensorFlow estimator:
ASwitch from CPU to GPU serving.
✓BApply quantization to your SavedModel by reducing the floating point precision to tf.float16.
CIncrease the dropout rate to 0.8 and retrain your model.
DIncrease the dropout rate to 0.8 in _PREDICT mode by adjusting the TensorFlow Serving parameters.
✓
Correct Answer: B
Apply quantization to your SavedModel by reducing the floating point precision to tf.float16.
▥
Explanation
The correct answer is highlighted above. Review the wording carefully, then use the next question to continue building your understanding of Google certification topics.