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Recent work has shown local convergence of GAN training for absolutely continuous data and generator distributions. In this paper… Expand Generative Adversarial Networks (GANs) excel at creating realistic images with complex models for which maximum likelihood is… Expand We introduce the "exponential linear unit" (ELU) which speeds up learning in deep neural networks and leads to higher… Expand While the recent focus on knowledge has undoubtedly benefited organizational studies, the literature still presents a sharply… Expand A new heuristic approach for minimizing possiblynonlinear and non-differentiable continuous spacefunctions is presented. By means… Expand From the Publisher:
Artificial "neural networks" are now widely used as flexible models for regression classification… Expand A key economic issue is whether poor countries or regions tend to grow faster than rich ones: are there automatic forces that… Expand Recent studies of turbulent shear flows have shown that many of their important kinematical and dynamical properties can be more… Expand WHILE THERE EXIST MANY TECHNIQUES FOR FINDING THE PARAMETERS THAT MINI- MIZE AN ERROR FUNCTION, ONLY THOSE METHODS THAT SOLELY… Expand ., • ' % . ^ : K ~* B J£L~i0813_ 4JC-4 J NATIONAL RESOURCE FOR COMPUTATION IN CHEMISTRY^ '• • ' THE 81R0UND STATED 6|/THE… Expand