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init = tf.initialize_all_variables() | |
a = tf.random_normal([2, 2, 2, 2]) | |
with tf.Session() as sess: | |
sess.run(init) | |
x = sess.run(a) | |
x |
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model = Sequential() | |
model.add(Dense( l[1], input_shape=(l[0],))) | |
for n_w_l in l[2:]: | |
model.add(Activation('relu')) | |
model.add(Dense( n_w_l, W_regularizer = l2(.01))) | |
return model |
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#!/usr/bin/env python | |
#-*- coding: utf-8 -*- | |
# Supporting Python 3 | |
import sys, os, re | |
try: bibtexdb = open(sys.argv[1]).read() | |
except: print("Error: specify the file to be processed!") | |
if not os.path.isfile('journalList.txt'): |
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{ | |
"floatx": "float32", | |
"epsilon": 1e-07, | |
"image_dim_ordering": "th", | |
"backend": "theano" | |
} |
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