AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 207

Question

A company is building an application that can predict spam email messages based on email text. The company can generate a few thousand human-labeled datasets that contain a list of email messages and a label of "spam" or "not spam" for each email message. A machine learning (ML) specialist wants to use transfer learning with a Bidirectional Encoder Representations from Transformers (BERT) model that is trained on English Wikipedia text data. What should the ML specialist do to initialize the model to fine-tune the model with the custom data?

Accepted Answer

Correct answer: D. The correct answer is D. Option D: Initialize the model with pretrained weights in all layers. Replace the last fully connected layer with a classifier. Train the classifier with the labeled data.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 207