본문

  1. Home
  4. Thesis
49 Results:SS:DEEPNEURALNETWORK 0.265 sec.
RSS 
Multilingual
 Búsqueda Avanzada
 Nueva llegada Buscar
Selected Print 선택엑셀내보내기
11
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
impresión
12
Exploring High Performance Deep Neural Networks on GPUs
Exploring High Performance Deep Neural Networks on GPUs
Dong, Shi. | Northeastern University | 2020
impresión
13
Enabling Full-Stack DNN Accelerator Design and Evaluation on Synthesizable Hardware.
Enabling Full-Stack DNN Accelerator Design and Evaluation on Synthesizable Hardware.
Genc, Hasan Nazim.Computer Science. | University of California, Berkeley. | 2024
impresión
14
Compiler Support for Deep Learning Accelerators: End-to-End Evaluation and Data Access Optimization.
Compiler Support for Deep Learning Accelerators: End-to-End Evaluation and Data Access Optimization.
Li, Yi.Electrical and Computer Engineering. | Princeton University. | 2024
impresión
15
Integrated AI Security and Efficiency: Trustworthiness, Trojan Detection, and Performance Acceleration.
Integrated AI Security and Efficiency: Trustworthiness, Trojan Detection, and Performance Acceleration.
Zhang, Xinqiao.Electrical and Computer Engineering | University of California, San Diego. | 2024
impresión
16
Towards Causally-Aware Dynamical System Prediction.
Towards Causally-Aware Dynamical System Prediction.
Jiang, Song.Computer Science 0201. | University of California, Los Angeles. | 2024
impresión
17
Continual Learning on Speech and Audio: Towards Data, Model and Metrics.
Continual Learning on Speech and Audio: Towards Data, Model and Metrics.
Yang, Muqiao.Electrical and Computer Engineering. | Carnegie Mellon University. | 2024
impresión
18
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
impresión
19
Learned Approximate Computing for Machine Learning- [electronic resource]
Learned Approximate Computing for Machine Learning- [electronic resource]
Li, Tianmu.Electrical and Computer Engineering 033 | University of California, Los Angeles. | 2023
impresión
20
Data-Efficient Deep Learning of Dynamical Systems- [electronic resource]
Data-Efficient Deep Learning of Dynamical Systems- [electronic resource]
Wang, Tianyi.Electrical and Computer Engineering 0 | University of California, Los Angeles. | 2023
impresión
처음이전12345이후마지막