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word-rnn-tensorflow

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Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

Mostly reused code from https://github.com/sherjilozair/char-rnn-tensorflow which was inspired from Andrej Karpathy's char-rnn.

Requirements

Basic Usage

To train with default parameters on the tinyshakespeare corpus, run:

python train.py

To sample from a trained model"

python sample.py

Sample output

Word-RNN

LEONTES:
Why, my Irish time?
And argue in the lord; the man mad, must be deserved a spirit as drown the warlike Pray him, how seven in.

KING would be made that, methoughts I may married a Lord dishonour
Than thou that be mine kites and sinew for his honour
In reason prettily the sudden night upon all shalt bid him thus again. times than one from mine unaccustom'd sir.

LARTIUS:
O,'tis aediles, fight!
Farewell, it himself have saw.

SLY:
Now gods have their VINCENTIO:
Whipt fearing but first I know you you, hinder truths.

ANGELO:
This are entitle up my dearest state but deliver'd.

DUKE look dissolved: seemeth brands
That He being and
full of toad, they knew me to joy.

Char-RNN

ESCALUS:
What is our honours, such a Richard story
Which you mark with bloody been Thilld we'll adverses:
That thou, Aurtructs a greques' great
Jmander may to save it not shif theseen my news
Clisters it take us?
Say the dulterout apy showd. They hance!

AnBESS OF GUCESTER:
Now, glarding far it prick me with this queen.
And if thou met were with revil, sir?

KATHW:
I must not my naturation disery,
And six nor's mighty wind, I fairs, if?

Messenger:
My lank, nobles arms;

Projects

If you have any project using this word-rnn, please let us know. I'll list up your project here.

Contribution

Your comments (issues) and PRs are always welcome.

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Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

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