Smart Grid Optimization
Adam is an optimization algorithm commonly used in machine learning and deep learning that combines the advantages of two other popular algorithms: AdaGrad and RMSProp. It dynamically adjusts the learning rate for each parameter, allowing for faster convergence and improved performance during training. The adaptive learning rate helps in efficiently navigating the loss landscape, making it particularly useful for complex neural network architectures.
congrats on reading the definition of Adam. now let's actually learn it.