Class Adam

# Adam (Adaptive Moment Estimation) optimizer The `Adam (Adaptive Moment Estimation)` optimizer is an adaptive learning rate algorithm used in gradient descent and machine learning, such as for training neural networks to solve deep learning problems. Boasting memory-efficient fast convergence rates, it sets and iteratively updates learning rates individually for each model parameter based on the