Practice Test 4 | Google Cloud Certified Professional Data Engineer | Dumps | Mock Test
Which of the following hyperparameters do we need to specify before the model is trained? (Multiple choice – 4)
A. Number of layers in the model
B. Number of units per layer
C. Dropout rate
D. Weight on input values to a node
E. Learning rate
Correct Answers: A, B, C and E
- Options A, B, C & E are CORRECT Number of layers, Number of units per layer, dropout rate, and learning rate are the hyperparameters for defining and training the model
- Option D is incorrect because the weight on input values to a node is used in the neural network training process i.e each input value is weighted before its fed into the nodes in the next layer.
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