A SIMPLE NEURAL ATTENTIVE META-LEARNER
数据集 Omniglot 包含50个字母表的1623个手写字符，每个字符包含20个样本 先调整尺寸到28x28，之后通过多次旋转90度的方式增加字符的种类，一共6492类 划分 训练集：82240项 4112类 验证集：13760项 688类 测试集：33840项 1692类 Mini-ImageNet 从ImageNet中随机选取100个类，每类包含600个样本 将尺寸缩放到84x84 包含 训
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相关文章
- 1. A simple neural network module for relational reasoning
- 2. #Paper Reading# Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
- 3. [ICLR2017]A Structured Self-attentive Sentence Embedding
- 4. AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
- 5. NAIS: Neural Attentive Item Similarity Model for Recommendation简析
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- 7. A Simple Web Server
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- 9. A simple stack
- 10. A simple Complex class