PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #45
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #45: Real Exam Question with Answer & Explanation
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Question
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?
Options
- ACategorical hinge
- BBinary cross-entropy
- CCategorical cross-entropy
- DSparse categorical cross-entropy
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