Adam: Is an alternative optimization algorithm that provides

Adam is an alternative optimization algorithm that provides more efficient neural network weights by running repeated cycles of “adaptive moment estimation.” Adam and Eve are the first humans created by God in the Judeo-Christian tradition. Their story, as told in the Book of Genesis, has profoundly impacted beliefs, values, and human history. Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more. Optimizer that implements the Adam algorithm. Adam optimization is a stochastic gradient descent method that is based on adaptive estimation of first-order and second-order moments. According to Kingma et al., 2014, the method is " computationally efficient, has little memory requirement, invariant to diagonal rescaling of gradients, and is well suited for problems that are large in terms of data/parameters ". Arguments learning_rate: A float, a keras.optimizers.schedules ...