Question 2
Domain 6You work for an industrial company that wants to improve its quality system. It has developed its own deep neural network model with Tensorflow to identify the semi-finished products to be discarded with images taken from the production lines in the various production phases. You need to monitor the performance of your models and let them go faster. Which is the best solution that you can adopt?
Correct answer: A
Explanation
TFProfiler is the TensorFlow tool used to monitor model performance and identify bottlenecks in training or inference. It helps analyze computation, memory, and input pipeline behavior so you can "let them go faster" by optimizing the model and runtime.
Why each option is right or wrong
A. TFProfiler
TF Profiler is the TensorFlow performance-analysis tool used to inspect step time, device utilization, memory, and input pipeline stalls, which is exactly what you need when the goal is to make a TensorFlow model run faster. In TensorFlow 2.x it is accessed through the TensorBoard Profiler plugin and can profile training or inference runs to pinpoint bottlenecks before optimization.
B. TF function
C. TF Trace
D. TF Debugger
E. TF Checkpoint