Translated title of the contribution | Cluster Pruning and Dynamic Quantization of Sparsity-Supported Prediction Threshold Energy-Efficient Accelerator Chip Design for Deep Neural Networks |
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Original language | Chinese (Traditional) |
Supervisors/Advisors |
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State | Published - 2022 |
Externally published | Yes |
分群剪枝與支援稀疏性之預測閥值動態量化的節能深度神經網路加速器晶片設計
顏郁霖
Research output: Types of Thesis › Master's thesis