Technically combining stochasticity with gradient descent is not pure gradient descent. As for the domain knowledge - this is not specific to gradient descent either, genetic algorithms and their problem encoding can be…
Totally obsurd. Gradient descent will 'almost' always get stuck in a local optima. The point of evolutionary algorithms, or any naturally inspired algorithm for that matter, is that it does not tend to converge upon…
Technically combining stochasticity with gradient descent is not pure gradient descent. As for the domain knowledge - this is not specific to gradient descent either, genetic algorithms and their problem encoding can be…
Totally obsurd. Gradient descent will 'almost' always get stuck in a local optima. The point of evolutionary algorithms, or any naturally inspired algorithm for that matter, is that it does not tend to converge upon…