Automated Search for Configurations of Deep Neural Network Architectures
arXiv: Learning, 2019.
Deep Neural Networks (DNNs) are intensively used to solve a wide variety of complex problems. Although powerful, such systems require manual configuration and tuning. To this end, we view DNNs as configurable systems and propose an end-to-end framework that allows the configuration, evaluation and automated search for DNN architectures. T...More
PPT (Upload PPT)