【论文笔记】SpotTune: Transfer Learning through Adaptive Fine-tuning
【CVPR2019】SpotTune: Transfer Learning through Adaptive Fine-tuning 论文链接：SpotTune: Transfer Learning through Adaptive Fine-tuning 一. Introduction 使用深度学习模型时，微调(fine-tune)是应用最普遍的迁移学习方法。它具体指先在源任务上获得预
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相关文章
- 1. Towards Alzheimer’s Disease Classification through Transfer Learning
- 2. Text Style Transfer论文笔记
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- 6. Visual Attribute Transfer through Deep Image Analogy论文阅读笔记
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- 9. 论文笔记12:Building Adaptive Tutoring Model using Artificial Neural Networks and Reinforcement Learning
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