Adam Optimizer
An adaptive learning rate optimization algorithm combining momentum and RMSprop, widely used for training neural networks.
Related Concepts
- Optimizer: Explore how Optimizer relates to Adam Optimizer
- Learning Rate: Explore how Learning Rate relates to Adam Optimizer
- Momentum: Explore how Momentum relates to Adam Optimizer
- RMSprop: Explore how RMSprop relates to Adam Optimizer
Why It Matters
Understanding Adam Optimizer is crucial for anyone working with training & optimization. This concept helps build a foundation for more advanced topics in AI and machine learning.
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Related Terms
Learning Rate
A hyperparameter controlling the step size in gradient descent - too high causes instability, too low slows convergence.
Momentum
An optimization technique that accelerates gradient descent by accumulating past gradients, helping escape local minima.
RMSprop
An optimizer using moving average of squared gradients to adapt learning rates, addressing AdaGrad's diminishing rates.