Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
using these grids, we can try random values as well. Why? Because we do not know which hyperparameter value might turn out to be important, and in a grid we only define particular values. The major takeaway from this sub-section is to use random sampling and adequate search. Using an Appropriate