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README.md
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@@ -18,4 +18,16 @@ This repo contains the model and the notebook [to this Keras example on Characte
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Full credits to: [fchollet](https://twitter.com/fchollet)
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## Background Information
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This example demonstrates how to implement a basic character-level recurrent sequence-to-sequence model. We apply it to translating short English sentences into short French sentences, character-by-character. Note that it is fairly unusual to do character-level machine translation, as word-level models are more common in this domain.
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Full credits to: [fchollet](https://twitter.com/fchollet)
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## Background Information
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This example demonstrates how to implement a basic character-level recurrent sequence-to-sequence model. We apply it to translating short English sentences into short French sentences, character-by-character. Note that it is fairly unusual to do character-level machine translation, as word-level models are more common in this domain.
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## Limitations
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It works on text of length <= 15 characters
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## Parameters needed for using the model
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```python
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latent_dim = 256
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num_encoder_tokens = 71
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max_encoder_seq_length = 15
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num_decoder_tokens = 92
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max_decoder_seq_length = 59
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```
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