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6 Results:SS:DEEPNEURALNETWORK PP:UNIVERSITY OF MICHIGAN. 0.343 sec.
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1
Advances in Intuitive Priors and Scalable Algorithms for Bayesian Deep Neural Network Models in Scientific Applications.
Advances in Intuitive Priors and Scalable Algorithms for Bayesian Deep Neural Network Models in Scientific Applications.
Hauth, Jeremiah M. A.Mechanical Engineering. | University of Michigan. | 2024
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2
RRAM-Based In-Memory Computing Architecture Designs- [electronic resource]
RRAM-Based In-Memory Computing Architecture Designs- [electronic resource]
Wang, Xinxin.Electrical and Computer Engineering. | University of Michigan. | 2023
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3
Low-Power Localization Systems with Hardware-Efficient Deep Neural Networks- [electronic resource]
Low-Power Localization Systems with Hardware-Efficient Deep Neural Networks- [electronic resource]
Chen, Yu.Electrical and Computer Engineering. | University of Michigan. | 2023
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4
Compression and Curriculum Strategies for Efficient Learning in Deep Neural Networks.
Compression and Curriculum Strategies for Efficient Learning in Deep Neural Networks.
Ganesh, Madan Ravi.Electrical and Computer Enginee | University of Michigan. | 2022
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5
Neural Network Implementations on Analog In-Memory-Computing Fabric.
Neural Network Implementations on Analog In-Memory-Computing Fabric.
Wang, Qiwen.Electrical and Computer Engineering. | University of Michigan. | 2022
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6
Variational Bayes Deep Neural Network: Theory, Methods and Applications.
Variational Bayes Deep Neural Network: Theory, Methods and Applications.
Liu, Zihuan.Statistics - Doctor of Philosophy. | Michigan State University. | 2021
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