Completed
- Using/Evaluating the Trained Model
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Classroom Contents
Building an Encoder-Decoder RNN in PyTorch for English-Italian Translation
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- 1 - Sutskever's Paper on Language Translation with RNNs
- 2 - Loading the Dataset, Tokenizer and Vocabulary
- 3 - PyTorch Dataset and DataLoader Objects
- 4 - Encoder / Decoder RNN in PyTorch
- 5 - Inference / Forward Pass for Translation
- 6 - Training Loop, Teacher Forcing
- 7 - Using/Evaluating the Trained Model
- 8 - Bi-Directional RNN for the Encoder
- 9 - Using/Evaluating the Trained Bi-Directional RNN
- 10 - Comparing our model to Sutskever's Paper
