世界模型的解读
论文基本信息
论文名：World Models
论文链接：https://arxiv.org/pdf/1803.10122.pdf
论文源码：
https://worldmodels.github.io/
关于作者：
David Ha：
Jurgen Schimidhu
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自复制自动机理论读书笔记
未完待续已完成10%
Theory of Self-Reproducing Automata(自复制自动机理论)前言冯诺依曼从20世纪40年代后期开始研究自动机理论。按照时间顺序他完成了五篇著作：
自动机的通用逻辑理论（The General and Logical Theory of Auto
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Neural-Machine-Translation-by-tensorflow
模型使用的公开数据集IWSLT Evaluation CampaignWMT Evaluation Campaign
基本seq2seq模型
论文笔记：A-Diversity-Promoting-Objective-Function-for-Neural-Conversation-Models
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论文基本信息
论文名：A Diversity-Promoting Objective Function for Neural Conversation Models
论文链接：https://arxiv.org/pdf/1510.03055.pdf
论文源码：
None
关
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demo驱动学习：Image_Caption
Introduction to demoSource Code:image_captioning_with_attention
Related PapersShow, Attend and Tell: Neural Image Caption Generation with Visual Atte
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Visual-Question-Learning(VQA)学习笔记
论文基本信息
论文名：Visual Question Answering: Datasets, Algorithms, and Future Challenges
论文链接：https://arxiv.org/pdf/1610.01465.pdf
论文源码
None
关于作者
K
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深度学习模块文档备忘录
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Colab study notesInstall commonly used packagesAlthough Colab has already installed some packages such as Tensorflow Matplotlib .etc, there are lots
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Zero-shot Learning学习笔记
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Graph Convolutional Networks
ProblemGeneralizing well-stablished neural models like RNNs or CNNs to work on arbitrarily structured graphs is a challe
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论文笔记：Deep Reinforcement Learning for Dialogue Generation
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论文基本信息
论文名：Deep Reinforcement Learning for Dialogue Generation
论文链接：https://arxiv.org/abs/1606.01541
论文源码：
https://github.com/liuyuemaicha/Deep-Reinf
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对话AI的论文列表
论文列表格式 论文发表年份： 论文题目&论文链接：第一作者（第一作者所属学校/机构），代码链接
OverviewExisting Models of Dialog SystemTask-Oriented Dialog
13: POMDP-Based Statistical S
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