Machine learning algorithms are used everywhere ... tree depth and have very bad performance for very deep trees. The choice of the optimal hyperparameters is more art than science, if we want ...

Machine learning and deep learning have been widely embraced ... The algorithms themselves have variables, called hyperparameters. They’re called hyperparameters, as opposed to parameters ...

We will study the parameters and hyperparameters that describe a deep network and explore their role in improving the accuracy of the deep learning models. We will conclude with a tutorial in Tensor ...