load model tensorflow

model = tf.keras.models.load_model('PATH')

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.

4.5 (2 Votes)
0
4.17
6
Danny rhee 90 points

                                     
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('./'))

4.17 (6 Votes)
0
3.33
3
Tegner 95 points

                                    new_model = tf.keras.models.load_model('my_model.h5')

3.33 (3 Votes)
0
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