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元学习参考资料
bettermorn edited this page Aug 20, 2023
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元学习可用于解决本文图像分类、自然语言处理和机器人技术等领域的问题。与深度学习不同,元学习使用较少的样本数据集,并考虑进一步改进模型泛化以获得更高的预测精度。元学习模型归纳为三类: 黑箱适应模型、基于相似度的方法模型和元学习过程模型。最近的应用集中在将元学习与贝叶斯深度学习和强化学习相结合,以提供可行的集成问题解决方案。 可参考 https://speech.ee.ntu.edu.tw/~hylee/ml/2022-spring.php 下载 https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/More%20Meta%20(v6).pptx
- https://www.bilibili.com/video/BV1Wv411h7kN?p=135
- https://www.bilibili.com/video/BV1Wv411h7kN?p=136
- https://www.bilibili.com/video/BV1Wv411h7kN?p=137
- https://www.bilibili.com/video/BV1Wv411h7kN?p=138
- https://www.bilibili.com/video/BV1Wv411h7kN?p=139
- https://www.bilibili.com/video/BV1Wv411h7kN?p=140
- https://www.bilibili.com/video/BV1Wv411h7kN?p=141
- https://www.bilibili.com/video/BV1Wv411h7kN?p=142
- https://www.bilibili.com/video/BV1Wv411h7kN?p=143
- https://www.bilibili.com/video/BV1Wv411h7kN?p=144
- https://www.bilibili.com/video/BV1Wv411h7kN?p=145
- https://www.bilibili.com/video/BV1Wv411h7kN?p=146
- https://www.bilibili.com/video/BV1Wv411h7kN?p=147
- https://www.bilibili.com/video/BV1Wv411h7kN?p=148
- https://www.bilibili.com/video/BV1Wv411h7kN?p=149
- https://www.bilibili.com/video/BV1Wv411h7kN?p=150
- https://www.bilibili.com/video/BV1Wv411h7kN?p=151
- https://www.bilibili.com/video/BV1Wv411h7kN?p=152
- https://www.bilibili.com/video/BV1Wv411h7kN?p=153
- 源代码:https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW15/HW15.ipynb
- 源代码说明幻灯片:https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW15/HW15.pdf
- 配套练习说明视频:https://www.bilibili.com/video/BV1Wv411h7kN?p=154
- 元学习:基础与应用(博文视点出品)
- Python元学习:通用人工智能的实现 (印) 苏达桑·拉维尚迪兰 配套代码 https://github.com/PacktPublishing/Hands-On-Meta-Learning-with-Python Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow