Using a sequence to sequence RNN model to translate sentences from English to French. The dataset is text files of ~140,000 fairly simple sentences in English and in French.
This is Project 4 of Udacity's Deep Learning Nanodegree Foundation. The aim of the project is to go through the process of implementing a sequence to sequence model in TensorFlow by building the encoder and decoder architectures, and finally be able to translate simple English sentences to French.
| Hyperparameter | Number |
|---|---|
| Epochs | 30 |
| Batch size | 256 |
| RNN size | 100 |
| LSTM layers | 2 |
| Encoding embedding size | 100 |
| Decoding embedding size | 100 |
| Learning rate | 0.001 |
| Keep probability | 0.9 |