title: 分享一下你所了解到的LSTM/RNN的应用Case?
desc: 算法的创新最终还要回归到具体的应用场景，期望通过这个讨论能够对sequence learning在各个应用场景形成一个汇总式的整理，可以为考虑尝试sequence learning的同学提供参考.<br><br>本题已加入圆桌<b> <b>
topic: 机器学习
content: 我知道的几个use case 1. Language Model The Unreasonable Effectiveness of Recurrent Neural Networks 2. Image Captioning CVPR15Long-term Recurrent Convolutional Networks for Visual Recognition and Description Deep Visual-Semantic Alignments for Generating Image Descriptions 3. Speech Recognition 4. Machine Translation NIPS15Sequence to Sequence Learningwith Neural Networks.
answerer_tags: 从事大规模机器学习系统研发及应用相关工作