load model tensorflow
model = tf.keras.models.load_model('PATH')
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4.5
2
with tf.Session() as sess:
saver = tf.train.import_meta_graph('my-model-1000.meta')
saver.restore(sess,tf.train.latest_checkpoint('./'))
print(sess.run('w1:0'))
##Model has been restored. Above statement will print the saved value of w1.
Thank you!
2
4.5
(2 Votes)
0
4.17
6
with tf.Session() as sess:
new_saver = tf.train.import_meta_graph('my_test_model-1000.meta')
new_saver.restore(sess, tf.train.latest_checkpoint('./'))
Thank you!
6
4.17
(6 Votes)
0
3.33
3
new_model = tf.keras.models.load_model('my_model.h5')
Thank you!
3
3.33
(3 Votes)
0
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