Dexdev08

from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation
from keras.optimizers import SGD
import keras as keras

import numpy as np
x_train = np.random.random((1000,20))
y_train = keras.utils.np_utils.to_categorical(np.random.randint(10, size=(1000,1)), nb_classes=10)
x_test = np.random.random((100,20))
y_test = keras.utils.np_utils.to_categorical(np.random.randint(10, size=(100,1)),nb_classes=10)

Dexdev08

import graphlab as gl
import pandas
import numpy as np
import string
import re
import unicodedata
import math
# attempt to load text files
import os
files = os.listdir(os.getcwd())

Dexdev08