Deep Learning, Machine Learning, Programming, Python, Tutorial.
optimizer are: Straightforward to implement. Computationally efficient. Little memory requirements. Invariant to diagonal rescale of the gradients. Well suited for problems that are large in terms of data and/or parameters. Appropriate for non-stationary objectives. Appropriate for problems with