The user needs to choose the optimizer, and the application characteristics should drive the optimization algorithm selection, not the mathematical appeal, academic fashion, or traditional company ...

Some optimization algorithms also adapt the learning rates of the model parameters by looking at the gradient history (AdaGrad, RMSProp, and Adam). Classification algorithms can find solutions to ...

I doubted that this algorithm would truly improve my life. But the optimization framework, backed up by mathematical proofs, peer-reviewed papers, and billions in Silicon Valley revenues ...