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An encoder decoder based Tensor-Flow implementation for Neural Machine Translation (English to French ):speech_balloon:.

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vishalgolcha/NMT

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Neural Machine Translation

An encoder decoder network trained to translate English sentences to French.

  • The Ipython Notebook is well documented for reference , also certain Helper functions are available in helper.py.
  • The parameters from the trained model are available in params.p

Sequence 2 Sequence

Model Hyper-Parameters

  • Number of Epochs =20
  • Batch Size = 256
  • RNN Size = 100
  • Number of Layers = 2
  • Embedding Size =200
  • Learning Rate = 0.0004
  • Dropout Keep Probability=0.8

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An encoder decoder based Tensor-Flow implementation for Neural Machine Translation (English to French ):speech_balloon:.

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