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tensorflow-rnn-tutorials's Introduction

Tensorflow RNN Tutorials

Word Embeddings

Word Embeddings: Open In Colab

Deep Sentiment Analysis

Sentiment Analysis v2: Open In Colab

Transliteration

En-Hi Transliteration: Open In Colab

Bonus : En-Hi Translation Model

En-Hi Translation: Open In Colab

tensorflow-rnn-tutorials's People

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nirjack sajid3 vamsime debopriyosanyal rishiyad prem38sri architectsupreme aknakshay raj963 piyushcse11

tensorflow-rnn-tutorials's Issues

Calculation of BLEU score

Hi Bsantraigi
You have provided great tutorials. I saw your transliteration.ipynb.
In this, in Input cell "In[37]", you have put the line 'pbar.set_description(f"Epoch: {_e} >> Loss: {batch_loss/(bxi+1):2.2F}:")', but in the output, there is no information about Loss.
Also, can you explain how you calculated the BLEU score? I guess for every Epoch, you are calculating the BLEU score 4 times. I didn't understand your "small_test()" function. Your final BLEU score is 0.6288471674183466. It is a very high BLEU score. Isn't it represent that model is overfitting?

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