論文閱讀：DEEP CAPTIONING WITH MULTIMODAL RECURRENTNEURAL NETWORKS (M-RNN)
DEEP CAPTIONING WITH MULTIMODAL RECURRENT NEURAL NETWORKS (M-RNN) 0.summary reccurent layer(deep RNN) + word embedding layer = language model part Future improvements: 1.use more better deep neural ne
相關文章
- 1. 【論文閱讀】AlexNet:ImageNet Classification with Deep Covolutional Network
- 2. 論文解讀：Multimodal Machine Translation with Embedding Prediction
- 3. 【論文閱讀】Show, Recall, and Tell: Image Captioning with Recall Mechanism
- 4. 【CV論文閱讀】Image Captioning 總結
- 5. Reflective Decoding Network for Image Captioning論文閱讀
- 6. M4C:Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA ---論文閱讀筆記
- 7. 論文閱讀Recursive Deep Models
- 8. Deep Active Contours 論文閱讀
- 9. 論文筆記：Learning Social Image Embedding with Deep Multimodal Attention Networks
- 10. Machine Learning & Deep Learning 論文閱讀筆記
- 更多相關文章...
- • RSS 閱讀器 - RSS 教程
- • C# 文本文件的讀寫 - C#教程
- • JDK13 GA發佈：5大特性解讀
- • Scala 中文亂碼解決
相關標籤/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。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 【論文閱讀】AlexNet:ImageNet Classification with Deep Covolutional Network
- 2. 論文解讀：Multimodal Machine Translation with Embedding Prediction
- 3. 【論文閱讀】Show, Recall, and Tell: Image Captioning with Recall Mechanism
- 4. 【CV論文閱讀】Image Captioning 總結
- 5. Reflective Decoding Network for Image Captioning論文閱讀
- 6. M4C:Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA ---論文閱讀筆記
- 7. 論文閱讀Recursive Deep Models
- 8. Deep Active Contours 論文閱讀
- 9. 論文筆記：Learning Social Image Embedding with Deep Multimodal Attention Networks
- 10. Machine Learning & Deep Learning 論文閱讀筆記