Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"Residual Neural Networks"”.
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Towards understanding residual neural networks
Residual networks (ResNets) are now a prominent architecture in the field of deep learning. However, an explanation for their success remains elusive. The original view is that residual connections allows for the training of deeper networks, but it is not clear that added layers are always useful, …
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A Neuro-Symbolic Reinforcement Learning Architecture: Integrating Perception, Reasoning, and Control
… are first processed by convolutional and residual neural networks, respectively, and then parsed by a symbolically reasoned program. Where the architecture proposed in this paper differs is in its use of the Neuro-Symbolic Concept Learner for preprocessing of a given input task, to then …
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Data-Driven Deep Learning Methods for Physically-Based Simulations
… problems modeled through Discrete Fracture Networks, training Deep Learning models as reduced models for Uncertainty Quantification. In particular, we look for trained Neural Networks able to predict the outflowing fluxes of a Discrete Fracture Network model. These Neural Networks are also …
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Bridging Machine Learning for Smart Grid Applications
… ensemble learning setup is formulated with dense residual neural networks as base-learners and a multivariate-linear regressor as a meta-learner. Historical measurements and states are utilized to train and test the model. The trained model can be used in real-time to estimate power system states …
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Implementation of Residual Tandem Neural Networks for Photonic Inverse Design
… We propose using an inverse design approach with residual blocks to account for the deep nature of this architecture and inherently address the non-uniqueness problem. A tandem approach, which consists of two interconnected models, is used, with the predictive model (the model that takes in a …