Pytorch Transformers for Machine Translation

Build a Sequence to Sequence (Seq2Seq) model with Transformers in PyTorch for machine translation, focusing on German to English translation using the Multi30k dataset. Learn how to preprocess data, construct a Transformer network, set up the training phase, troubleshoot errors, and evaluate the model using BLEU score. Gain hands-on experience in implementing state-of-the-art natural language processing techniques for translation tasks.

- Introduction
- Imports
- Data preprocessing
- Transformer network
- Setting up training phase
- Fixing errors
- Evaluating the model and BLEU score