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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'))
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saikrishna-kanneti / create_index.sh
Created July 5, 2018 14:51 — forked from bonzanini/create_index.sh
Elasticsearch/Python test
curl -XPOST http://localhost:9200/test/articles/1 -d '{
"content": "The quick brown fox"
}'
curl -XPOST http://localhost:9200/test/articles/2 -d '{
"content": "What does the fox say?"
}'
curl -XPOST http://localhost:9200/test/articles/3 -d '{
"content": "The quick brown fox jumped over the lazy dog"
}'
curl -XPOST http://localhost:9200/test/articles/4 -d '{