Home » IBM » C1000-059 » In a hyperparameter search, whether a single model is trained or a lot of models are trained in parallel is largely determined by?
In a hyperparameter search, whether a single model is trained or a lot of models are trained in parallel is largely determined by?
A. The number of hyperparameters you have to tune.
B. The presence of local minima in your neural network.
C. The amount of computational power you can access.
D. Whether you use batch or mini-batch optimization.
Correct Answer: C
Explanation/Reference:
Reference: https://github.com/Kulbear/deep-learning-coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Week%203%20Quiz%20-%20Hyperparameter%20tuning%2C%20Batch%20Normalization%2C%20Programming%20Frameworks.md
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