How to initialize variables with different values?
I have a CNN network. I want to run training loop 1000 times and every time I want to initialize weights and filter with different values. But I am little confused with the following two situations. Is there any difference in two cases?
`
#network structure
sess = tf.InteractiveSession()
sess.run(tf.initialize_all_variables())
for k in range(1000):
print(k)
for i in range(training_step):
....`
Second case is
`
#network structure
sess = tf.InteractiveSession()
for k in range(1000):
print(k)
sess.run(tf.initialize_all_variables())
for i in range(training_step):
....`
python tensorflow
edited Nov 15 '18 at 9:30
Milo Lu
1,63911528
asked Nov 15 '18 at 7:51
R.joeR.joe
46
add a comment |
I have a CNN network. I want to run training loop 1000 times and every time I want to initialize weights and filter with different values. But I am little confused with the following two situations. Is there any difference in two cases?
`
#network structure
sess = tf.InteractiveSession()
sess.run(tf.initialize_all_variables())
for k in range(1000):
print(k)
for i in range(training_step):
....`
Second case is
`
#network structure
sess = tf.InteractiveSession()
for k in range(1000):
print(k)
sess.run(tf.initialize_all_variables())
for i in range(training_step):
....`
python tensorflow
edited Nov 15 '18 at 9:30
Milo Lu
1,63911528
asked Nov 15 '18 at 7:51
R.joeR.joe
46
add a comment |
I have a CNN network. I want to run training loop 1000 times and every time I want to initialize weights and filter with different values. But I am little confused with the following two situations. Is there any difference in two cases?
`
#network structure
sess = tf.InteractiveSession()
sess.run(tf.initialize_all_variables())
for k in range(1000):
print(k)
for i in range(training_step):
....`
Second case is
`
#network structure
sess = tf.InteractiveSession()
for k in range(1000):
print(k)
sess.run(tf.initialize_all_variables())
for i in range(training_step):
....`
python tensorflow
edited Nov 15 '18 at 9:30
Milo Lu
1,63911528
asked Nov 15 '18 at 7:51
R.joeR.joe
46
I have a CNN network. I want to run training loop 1000 times and every time I want to initialize weights and filter with different values. But I am little confused with the following two situations. Is there any difference in two cases?
`
#network structure
sess = tf.InteractiveSession()
sess.run(tf.initialize_all_variables())
for k in range(1000):
print(k)
for i in range(training_step):
....`
Second case is
`
#network structure
sess = tf.InteractiveSession()
for k in range(1000):
print(k)
sess.run(tf.initialize_all_variables())
for i in range(training_step):
....`
python tensorflow
python tensorflow
edited Nov 15 '18 at 9:30
Milo Lu
1,63911528
asked Nov 15 '18 at 7:51
R.joeR.joe
46
edited Nov 15 '18 at 9:30
Milo Lu
1,63911528
asked Nov 15 '18 at 7:51
R.joeR.joe
46
edited Nov 15 '18 at 9:30
Milo Lu
1,63911528
edited Nov 15 '18 at 9:30
Milo Lu
1,63911528
edited Nov 15 '18 at 9:30
Milo Lu
1,63911528
1,63911528
asked Nov 15 '18 at 7:51
R.joeR.joe
46
asked Nov 15 '18 at 7:51
R.joeR.joe
46
asked Nov 15 '18 at 7:51
R.joeR.joe
46
46
add a comment |
add a comment |
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