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seq2seq-language-translation's Introduction

Sequence to Sequence Language Translation

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.

Files

Jupyter Notebook

Hyperparameters

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

seq2seq-language-translation's People

Contributors

nehal96 avatar

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Forkers

sks-ss eleanorlovesf umar-farooq-khan mandaakhila ricz2024

seq2seq-language-translation's Issues

dynamic_rnn_decoder

Hi Nehal,

Thanks for your repo. I am trying to run this model, but getting following error. Can you kindly suggest alternative. I am using latest tensorflow. Version 1.4.0.
AttributeError: module 'tensorflow.contrib.seq2seq' has no attribute 'dynamic_rnn_decoder'

Thanks in advance

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