Multiple Choice
Your team needs to build a model that predicts whether images contain a driver's license, passport, or credit card. The data engineering team already built the pipeline and generated a dataset composed of 10,000 images with driver's licenses, 1,000 images with passports, and 1,000 images with credit cards. You now have to train a model with the following label map: ['drivers_license', 'passport', 'credit_card']. Which loss function should you use?
A) Categorical hinge
B) Binary cross-entropy
C) Categorical cross-entropy
D) Sparse categorical cross-entropy
Correct Answer:
Verified
Correct Answer:
Verified
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