Abstract: Selecting an appropriate step size is critical in Gradient Descent algorithms used to train Neural Networks for Deep Learning tasks. A small value of the step size leads to slow convergence, ...
Abstract: Optimization plays a vital role in science and engineering. Nonlinear problems demand optimized solutions, traditional Algorithms fail to solvethese kinds of problems. A Recent trend is to ...
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