AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 201

Question

An automotive company is using computer vision in its autonomous cars. The company has trained its models successfully by using transfer learning from a convolutional neural network (CNN). The models are trained with PyTorch through the use of the Amazon SageMaker SDK. The company wants to reduce the time that is required for performing inferences, given the low latency that is required for self-driving. Which solution should the company use to evaluate and improve the performance of the models?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Use SageMaker Debugger for visibility into the training weights, gradients, biases, and activation outputs. Compute the filter ranks based on this information. Apply pruning to remove the low-ranking filters. Set the... Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service. This option meets the real-time / low-latency performance requirement.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 201