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MLA-C01 · Question #23
MLA-C01 Question #23: Real Exam Question with Answer & Explanation
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ML Model Development
Question
An ML engineer is training a simple neural network model. The ML engineer tracks the performance of the model over time on a validation dataset. The model's performance improves substantially at first and then degrades after a specific number of epochs. Which solutions will mitigate this problem? (Choose two.)
Options
- AEnable early stopping on the model.
- BIncrease dropout in the layers.
- CIncrease the number of layers.
- DIncrease the number of neurons.
- EInvestigate and reduce the sources of model bias.
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Topics
#Overfitting#Early Stopping#Dropout#Neural Networks