by Michele Laurelli
An adaptive learning rate optimization algorithm combining momentum and RMSprop.
Adam (Adaptive Moment Estimation) computes adaptive learning rates for each parameter using first and second moment estimates. It's the default optimizer for many deep learning applications due to its robustness.
Training transformers
Deep neural networks
Default optimizer in many frameworks