Machine Learning, Deep Learning, Neural Networks, Optimization Algorithms, Adam.
accumulated gradients √vₜ. Additionally, a small positive term ε is added to the denominator to prevent potential division by zero. AdaGrad equations The greatest advantage of AdaGrad is that there is no longer a need to manually adjust the learning rate as it adapts itself during training.