Prior Variable Analysis and Principal Component Analysis are both examples of a data reduction algorithm.

If your Neural Network model seems to have high variance, what of the following would be promising things to try?  Make the Neural Network deeper  Get more training data  Add regularization  Get more test data  Increase the number of units in each hidden layer Get All Week Quiz Answer: Improving Deep Neural Networks: Hyperparameter Tuning, Regularization…

Suppose batch gradient descent in a deep network is taking excessively long to find a value of the parameters that achieves a small value for the cost function . Which of the following techniques could help find parameter values that attain a small value for J? (Check all that apply)  Try mini-batch gradient descent  Try initializing all…