Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
Scale to Pick Hyperparameters To understand this, consider the number of hidden units hyperparameter. The range we are interested in is from 50 to 100. We can use a grid which contains values between 50 and 100 and use that to find the best value: Now consider the learning rate with a range between