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import numpy as np | |
from keras.preprocessing import sequence | |
from keras.models import Sequential | |
from keras.layers import Dense, Embedding | |
from keras.layers import LSTM | |
from keras.datasets import imdb | |
def batch_iter(data, labels, batch_size, shuffle=True): | |
num_batches_per_epoch = int((len(data) - 1) / batch_size) + 1 |
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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) |