grantwwoodford

from keras.layers import Dense, Dropout
from keras.models import Sequential
import numpy as np
import keras.backend as K

def model():
    # create model
    model = Sequential()

    model.add(Dense(100, input_dim=36, kernel_initializer='uniform', activation='relu'))

grantwwoodford

from keras.layers import Dense, Dropout
from keras.models import Sequential
import numpy as np
import keras.backend as K

def model():
    # create model
    model = Sequential()

    model.add(Dense(100, input_dim=36, kernel_initializer='uniform', activation='relu'))

grantwwoodford

# Create first network with Keras
from keras.models import Sequential
from keras.layers import Dense
import numpy
import threading as t
import tensorflow as tf

# create model
model = Sequential()
model.add(Dense(12, input_dim=8, init='uniform', activation='relu'))

grantwwoodford

# Create first network with Keras
from keras.models import Sequential
from keras.layers import Dense
import numpy
import threading as t
import tensorflow as tf

graph = tf.get_default_graph()

def t_thread():

grantwwoodford

# Create first network with Keras
from keras.models import Sequential
from keras.layers import Dense
import numpy
import threading as t
import tensorflow as tf

def t_thread():
    model = Sequential()
    model.add(Dense(12, input_dim=8, init='uniform', activation='relu'))

grantwwoodford

# Create first network with Keras
from keras.models import Sequential
from keras.layers import Dense
import numpy
import threading as t
import tensorflow as tf

graph = tf.get_default_graph()

def t_thread():

grantwwoodford

# Create first network with Keras
from keras.models import Sequential
from keras.layers import Dense
import numpy
import thread

def t_thread():
    # create model
    model = Sequential()
    model.add(Dense(12, input_dim=8, init='uniform', activation='relu'))

grantwwoodford

let rec repeat x (s : string) : string = 
    match x with 
    | 0 -> ""
    | x -> s + (repeat (x-1) s)

let roman_numeral_ordering n (one : string) (five : string) (ten : string) =
    match n with
    | 0 -> ""
    | n when n < 4 -> repeat n one
    | n when n = 4 -> one + five