viix-co

import random

import numpy as np
import math

def sigmoid(x): 
    return 1. / (1 + np.exp(-x))

def sigmoid_derivative(values): 
    return values*(1-values)

viix-co

"""
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)

viix-co

# References
# - https://www.tensorflow.org/versions/r0.10/tutorials/word2vec/index.html
# - https://github.com/tensorflow/tensorflow/blob/r0.10/tensorflow/examples/tutorials/word2vec/word2vec_basic.py

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import collections
import math