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專利名稱(英) | METHOD FOR TRAINING A NEURAL NETWORK WITH FLEXIBLE FEATURE COMPRESSION CAPABILITY, AND NEURAL NETWORK SYSTEM WITH FLEXIBLE FEATURE COMPRESSION CAPABILITY |
專利家族 |
PCT:WO2023227077A1(公開號) 中華民國:I872552 大陸:CN119317925A(公開號) 美國:2023-0385647(公開號) |
專利權人 | 國立清華大學 100.00% |
發明人 | 呂仁碩,劉宗岳,蔡喻至 |
技術領域 | 資訊工程,電子電機 |
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A neural network is provided to include a layer that has a weight set. The neural network is trained based on a first compression quality level, where the weight set and a first set of batch normalization coefficients are used in said layer, so the weight set and the first set of batch normalization coefficients are trained with respect to the first compression quality level. Then, the neural network is trained based on a second compression quality level, where the weight set that has been trained with respect to the first compression quality level and a second set of batch normalization coefficients are used in said layer, so the weight set is trained with respect to both of the first and second compression quality levels, and the second set of batch normalization coefficients is trained with respect to the second compression quality level. |
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承辦人姓名 | 李曉琪 |
承辦人電話 | 03-5715131 #31061 |
承辦人Email | hsiaochi@mx.nthu.edu.tw |