What is weight decay?

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  1. What is weight decay?
    •  A technique to avoid vanishing gradient by imposing a ceiling on the values of the weights.
    •  A regularization technique (such as L2 regularization) that results in gradient descent shrinking the weights on every iteration.
    •  The process of gradually decreasing the learning rate during training.
    •  Gradual corruption of the weights in the neural network if it is trained on noisy data.

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Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization Coursera Quiz Answer

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  1. If you have 10,000,000 examples, how would you split the train/dev/test set?
  2. If your Neural Network model seems to have high bias, what of the following would be promising things to try?
  3. If your Neural Network model seems to have high variance, what of the following would be promising things to try?
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