Machine Learning, Deep Learning, Neural Networks, Optimization Algorithms, Adam.
respectively. Adam equations Furthermore, it is possible to use bias correction for moving averages for a more precise approximation of gradient trend during the first several iterations. The experiments show that Adam adapts well to almost any type of neural network architecture taking the