GLOSSARY TERM
What is Adam Optimizer?
An adaptive learning rate optimization algorithm for training deep neural networks.
Adam combines the advantages of adaptive gradient algorithms and root mean square propagation. It computes individual adaptive learning rates for different parameters from estimates of first and second moments of the gradients.
Accelerate Training
Discover how the M1 layer leverages advanced optimizers for rapid model convergence.