transfer learning and fine tuning
transfer learning / fine tuning 卷積神經網絡需要大量的數據和資源來進行訓練, 例如, imagenet ILSVRC model 是需要在1.2 million 張圖片,利用多GPU,耗時2-3個周的訓練才能完成. transfer learning 是將在之前任務(例如image net)訓練過的網絡權值,遷移到一個新任務上去. 研究者們或者參與者們已經更習慣於,
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相關文章
- 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. 【論文筆記】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