bis-carbon

http://pics.davesgarden.com/pics/Farmerdill_1137074000_796_tn.jpg
http://pic.nipic.com/2008-06-12/2008612163158182_2.jpg
http://www.angelaevans.co.uk/images/small.images/small.fruit.veg/cornichon.jpg
http://farm4.static.flickr.com/3099/2719165088_a9612f1ea0.jpg
http://www.vegetableseed.net/heirloom-vegetable-seeds/heirloom-cucumber-seeds/Bissett_ArmenianCucumbersmall.jpg
http://farm1.static.flickr.com/57/199581253_9badc5f305.jpg
http://www.dkimages.com/discover/previews/871/50026067.JPG
http://www.marshalls-seeds.co.uk/i/MVEBI2531.jpg
http://p1.p.pixnet.net/albums/userpics/1/1/665011/1208088030.jpg
http://upload.wikimedia.org/wikipedia/commons/thumb/2/2f/CDC_cuke2.jpg/120px-CDC_cuke2.jpg

bis-carbon

from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.layers.normalization import BatchNormalization

#AlexNet with batch normalization in Keras 
#input image is 224x224

model = Sequential()
model.add(Convolution2D(64, 3, 11, 11, border_mode='full'))

bis-carbon

from __future__ import absolute_import
from __future__ import print_function
import numpy as np
np.random.seed(1337)  # for reproducibility

import random
from keras.datasets import mnist
from keras.models import Sequential, Graph
from keras.layers.core import *
from keras.optimizers import SGD, RMSprop

bis-carbon

from __future__ import absolute_import
from __future__ import print_function
import numpy as np
np.random.seed(1337)  # for reproducibility

import random
from keras.datasets import mnist
from keras.models import Sequential, Graph
from keras.layers.core import *
from keras.optimizers import SGD, RMSprop

bis-carbon