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: A novel approach to synchronous stochastic gradient descent (SGD) for support vector machines (SVM) is presented, leveraging Apache Spark for distributed computation and Kubernetes for ...
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