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You have trained a new deep learning model for a few epochs on a large dataset and observe that both the training and validation losses have remained nearly unchanged. What is the first step you should take to debug the model?
A
Verify that your model can obtain a low loss on a small subset of the dataset
B
Add handcrafted features to inject your domain knowledge into the model
C
Use the Vertex AI hyperparameter tuning service to identify a better learning rate
D
Use hardware accelerators and train your model for more epochs
