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- 1.deep-learning-basic.md
- 2.improving-deep-neural-networks-1.practical-aspects.md
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- 2.improving-deep-neural-networks-3.pyperparameter-tuning.md
- 3.structuring-machine-learning-1.ml-strategy.md
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- 4.convolutional-neural-network-1.foundations-of-cnn.md
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- 4.convolutional-neural-network-4.face-recognition-and-neural-style-transfer.md
- 5.sequence-model-1.recurrent-neural-netoworks.md
- 5.sequence-model-2.nlp-and-word-embeddings.md
- 5.sequence-model-3.sequence-models-and-attention-machanism.md
- 6.few-shot-learning.md
- 6.meta-learning.md
- README.md
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README.md

6.few-shot-learning.md

init few-shot learning

Oct 20, 2019

7e717b6 · Oct 20, 2019

小样本学习

小样本学习（Few-shot learning），顾名思义，解决在train set很小的情况的小的学习问题。

这部分将一边Survey一边整理

一篇阿里团队关于Few-shot learning的综述