Recurrent-Neural-Networks
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Recurrent-Neural-Networks
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rnn
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README.md
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charles_dickens.txt
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classification.ipynb
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confusion.png
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download_language_data.py
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generation.ipynb
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kaggle_rnn_submission.txt
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shakespeare.txt
README.md
Recurrent Neural Networks
I train an RNN for two tasks on text data:
- Language classification - RNN will learn to detect which language a chunk of text is written in (similar to a feature you might find in an online translator). While this might be relatively easy to do if the input text is unicode and unique characters indicate a particular language, we address the case where all input text to converted to ASCII characters so our network must learn instead to detect letter patterns.
- Text generation - RNN learns to generate text by predicting the most likely next character based on previous characters.
This assignment was adapted from and inspired by material from the Stanford CS231n Assignments, Andrej Karpathy's RNN blog post , and the PyTorch Tutorials.