Zero-shot Learning / One-shot Learning / Few-shot Learning/传统 Learning

时间 2021-01-10

标签小样本深度学习传统深度学习繁體版

原文原文链接

Introduction 在迁移学习中，由于传统深度学习的学习能力弱，往往需要海量数据和反复训练才能修得泛化神功。为了 “多快好省” 地通往炼丹之路，炼丹师们开始研究 Zero-shot Learning / One-shot Learning / Few-shot Learning。爱上一匹野马 (泛化能力)，可我的家里没有草原 (海量数据) 。 Learning类型

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1. Machine Learning 之 Learning
2. [Machine Learning] Active Learning
3. [learning materials] writing learning
4. Deep learning----------Self-taught learning
5. Machine Learning(8): Reinforcement learning
6. TD Learning，SARSA，Q Learning
7. Supervised learning and Unsupervised learning
8. LEARNING NOTES FROM DEEP LEARNING
9. Machine learning -------learning notes Bilibili
10. Predictive learning vs. representation learning

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