example/char-rnn: added README.md
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example/char-rnn/README.md
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example/char-rnn/README.md
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This example implements a character-level language model heavily inspired
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by [char-rnn](https://github.com/karpathy/char-rnn).
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- For training, the model takes as input a text file and learns to predict the
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next character following a given sequence.
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- For generation, the model uses a fixed seed, returns the next character
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distribution from which a character is randomly sampled and this is iterated
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to generate a text.
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At the end of each training epoch, some sample text is generated and printed.
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Any text file can be used as an input, as long as it's large enough for training.
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A typical example would be the
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[tiny Shakespeare dataset](https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt).
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The training text file should be stored in `data/input.txt`.
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To run the example:
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```bash
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cd example/char-rnn
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go run .
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```
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Here is an example of generated data when training on the Shakespeare dataset
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after only 5 epochs.
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```
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rom Dogs on the gamper, as their rear and
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A king your revenues Numilitul. Your hanged
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like awaket from me Mucafion as even sit best.
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HENRY BOLINGBROKE:
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O, I know'st me not his princess
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RIVERS:
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Bidgened Walter, march is their beadeful,
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To be full yiel successes him a brother
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And treason wid ought to do the haughty likes
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Keep lay issued-formoners?
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LUCIO:
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Nay, but he's very were I live, I have seen.
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KING EDWARD IV:
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Be indeed.
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What? what new and past your knee, how now!
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LADY GREY:
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To their own lidight right.
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Will you joy?
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MERCUTIO:
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'Tis it that dear Bianca and York; some it
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But my consent. What's the king so plant! 'LYears,
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My personage of thy Lady Grumio!
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KATHARINA:
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Reblong, my lord;
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For-sun, therefore thou high'd me to me.
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ESCALUS:
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But they are gone.
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Second Servant:
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O, they do seek out the day.
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CLARENCE:
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Alas; for father, lords, take they be little state,
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His business: and therefore fit it should
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Being well seating lie out.
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Second Servant:
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I know no one of purpose.
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CAPULET:
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Make me us.
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```
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