Machine Learning, AI, Reinforcement Learning, Optimization, Neural Networks.
parameters. To measure the performance of our algorithm, let’s run 1000 or so unique experiments and observe how accurate our predictions are. Again, we’ll use a budget of 250 — that’s the maximum number of times that new hyperparameters can be evaluated. This will allow for an apples-to-apples