|
 使用浮點標號位元表示的神經網絡訓練方法
|
刊登日期：2019/07/01 |
|
|
|
|
|
| ‧ 專利名稱 |
使用浮點標號位元表示的神經網絡訓練方法 |
| ‧ 專利證書號 |
I664585
11170297B2
|
| ‧ 專利權人 |
國立臺灣大學 |
‧ 專利國家
(申請日) |
中華民國 (2018/03/30)
美國 (2018/06/05)
|
|
|
| |
| ‧ 發明人/PI |
闕志達,林柏成,
|
| ‧ 單位 |
電機工程學系
|
| ‧ 簡歷/Experience |
|
|
| 技術摘要 / Our Technology： |
A method of training a neural network including multiple neural network weights and multiple neurons, and the method includes using floating-point signed digit numbers to represent each of the multiple neural network weights, wherein a mantissa of each of the multiple neural network weights is represented by multiple mantissa signed digit groups and an exponent of each of the multiple neural network weights is represented by an exponent digit group; and using the exponent digit group and at least one of the multiple mantissa signed digit groups to perform weight adjustment computation and neural network inference computation.
|
| 專利簡述 / Intellectual Properties： |
|
| |
聯繫方式 / Contact： |
| 臺大產學合作總中心 / Center of Industry-Academia Collaboration, NTU |
|
| Email：ordiac@ntu.edu.tw |
電話/Tel：02-3366-9945 |
|
|
| |
|
| |
 |
專利行銷平台