~/data
~/data/A/A (1).jpg
~/data/A/A (2).jpg
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~/data/Z/Z (1).jpg
~/data/Z/Z (2).jpg
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| 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") |
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| consumer_key='' | |
| consumer_secret ='' | |
| access_token = '' | |
| access_token_secret = '" |
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| consumer_key = ' ' | |
| consumer_secret = ' ' | |
| access_token = ' ' | |
| access_token_secret = ' ' |
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| 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)) |
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| 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 |