图 书 馆
学而不忘Learning without Forgetting |
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| 课程网址: | http://videolectures.net/eccv2016_li_without_forgetting/ |
| 主讲教师: | Zhizhong Li |
| 开课单位: | 伊利诺伊大学 |
| 开课时间: | 2016-10-24 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | When building a unified vision system or gradually adding new capabilities to a system, the usual assumption is that training data for all tasks is always available. However, as the number of tasks grows, storing and retraining on such data becomes infeasible. A new problem arises where we add new capabilities to a Convolutional Neural Network (CNN), but the training data for its existing capabilities are unavailable. We propose our Learning without Forgetting method, which uses only new task data to train the network while preserving the original capabilities. Our method performs favorably compared to commonly used feature extraction and fine-tuning adaption techniques and performs similarly to multitask learning that uses original task data we assume unavailable. A more surprising observation is that Learning without Forgetting may be able to replace fine-tuning as standard practice for improved new task performance. |
| 关 键 词: | 神经网络; 任务数据; 原始能力; 学而不忘 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-03-27：chenxin01 |
| 最后编审: | 2023-05-22：chenxin01 |
| 阅读次数: | 17 |