# 1 - Sequence to Sequence Learning with Neural Networks In this series we'll be building a machine learning model to go from once sequence to another, using PyTorch and torchtext. This will be done on German to English translations, but the models can be applied to any problem that involves going from one sequence to another, such as summarization, i.e. going from a sequence to a shorter sequence in the same language. In this first notebook, we'll start simple to understand the general concepts by implementing the model from the [Sequence to Sequence Learning with Neural Networks](https://arxiv.org/abs/1409.3215) paper. 本文由 louis 创作，采用 知识共享署名4.0 国际许可协议进行许可github 地址 https://github.com/7568/7568.github.io最后编辑时间为:2022-10-28
