transfer learning and fine tuning

时间 2020-12-24

标签 transfer learning fine-tuning 繁體版

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transfer learning / fine tuning 卷积神经网络需要大量的数据和资源来进行训练, 例如, imagenet ILSVRC model 是需要在1.2 million 张图片,利用多GPU,耗时2-3个周的训练才能完成. transfer learning 是将在之前任务(例如image net)训练过的网络权值,迁移到一个新任务上去. 研究者们或者参与者们已经更习惯于,

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1. few-shot learning(三)：Pretraining and Fine Tuning
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4. 【论文笔记】SpotTune: Transfer Learning through Adaptive Fine-tuning
5. Caffe Knowledge about Softmax and fine tuning
6. transfer learning
7. fine-tuning
8. Unsupervised Person Re-identiﬁcation: Clustering and Fine-tuning
9. Unsupervised Person Re-identification: Clustering and Fine-tuning
10. pretraining+fine tuning
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1. few-shot learning(三)：Pretraining and Fine Tuning
2. Borrowing treasures from the wealthy: deep transfer learning through selective joint fine-tuning
3. Fine-tuning
4. 【论文笔记】SpotTune: Transfer Learning through Adaptive Fine-tuning
5. Caffe Knowledge about Softmax and fine tuning
6. transfer learning
7. fine-tuning
8. Unsupervised Person Re-identiﬁcation: Clustering and Fine-tuning
9. Unsupervised Person Re-identification: Clustering and Fine-tuning
10. pretraining+fine tuning

>>更多相关文章<<