Главная
Study mode:
on
1
- Introduction
2
- Imports
3
- Data preprocessing
4
- Transformer network
5
- Setting up training phase
6
- Fixing errors
7
- Evaluating the model and BLEU score
Description:
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.

Pytorch Transformers for Machine Translation

Aladdin Persson
Add to list
0:00 / 0:00