论文笔记之：Progressive Neural Network Google DeepMind
Progressive Neural Network Google DeepMind 摘要：学习去解决任务的复杂序列 --- 结合 transfer (迁移)，并且避免 catastrophic forgetting （灾难性遗忘） --- 对于达到 human-level intelligence 仍然是一个关键性的难题。本文提出的 progressive networks app
相关文章
- 1. 【论文笔记】渐进式网络Progressive Neural Network Google DeepMind
- 2. NAS论文笔记——Progressive Neural Architecture Search
- 3. 论文笔记：Progressive Neural Architecture Search
- 4. 【论文笔记】Progressive Neural Networks 渐进式神经网络
- 5. 论文笔记：Recurrent Neural Network Grammars
- 6. 论文笔记：Convolutional Neural Network for Sentence Classification
- 7. 【论文笔记】non-local neural network
- 8. 论文笔记：KDD 2019 Heterogeneous Graph Neural Network
- 9. 论文笔记：Non-Local Neural Network
- 10. Network In Network 论文笔记
- 更多相关文章...
- • Google Chrome 浏览器 - 浏览器信息
- • ASP.NET Razor - 标记 - ASP.NET 教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • 互联网组织的未来：剖析GitHub员工的任性之源
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 【论文笔记】渐进式网络Progressive Neural Network Google DeepMind
- 2. NAS论文笔记——Progressive Neural Architecture Search
- 3. 论文笔记：Progressive Neural Architecture Search
- 4. 【论文笔记】Progressive Neural Networks 渐进式神经网络
- 5. 论文笔记：Recurrent Neural Network Grammars
- 6. 论文笔记：Convolutional Neural Network for Sentence Classification
- 7. 【论文笔记】non-local neural network
- 8. 论文笔记：KDD 2019 Heterogeneous Graph Neural Network
- 9. 论文笔记：Non-Local Neural Network
- 10. Network In Network 论文笔记