Christopher W Lee-Messer cleemesser
cleemesser
/ min-char-rnn.py
Created
October 7, 2015 18:31
— forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
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| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |
cleemesser
/ simple-bootstrap.ipynb
Last active
December 19, 2015 15:59
simple example of using bootstrapping to understand the variation caused by small samples
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