iamukasa

~/data
~/data/A/A (1).jpg
~/data/A/A (2).jpg
...
~/data/Z/Z (1).jpg
~/data/Z/Z (2).jpg

iamukasa

import os
import csv
import itertools
import functools
import tensorflow as tf
import numpy as np
import array

tf.flags.DEFINE_integer(
  "min_word_frequency", 5, "Minimum frequency of words in the vocabulary")

iamukasa

consumer_key=''
consumer_secret =''
access_token = ''
access_token_secret = '"

iamukasa

consumer_key = ' '
consumer_secret = ' '
access_token = ' '
access_token_secret = ' '

iamukasa

import numpy as np
import sys

class RecurrentNeuralNetwork:
    def __init__(self,xs,ys,rl,eo,lr):
        self.x=np.zeros(xs)
        self.xs=xs
        self.y=np.zeros(ys)
        self.ys=ys
        self.w=np.random.random((ys,ys))

iamukasa

import sys,random,time

alpha=('a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','s','t','u','v','w','x','y','z')
words=""
starttime =time.time()
#monkey iterator
while str(sys.argv[1]) not in words :
	a=random.choice(alpha) 
	words+=a
	print words