Load model tensorflow

from tensorflow import keras
model = keras.models.load_model('path/to/location')

Load saved model tensorflow

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

Source: tensorflow.org

Use model from checkpoint tensorflow

 
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('./'))

Source: cv-tricks.com

Use model from checkpoint tensorflow

 
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.

Source: cv-tricks.com

Similar codes

1 vote112 views3 answers
Python find string count in str
Python
0 vote122 views1 answer
Pycharm Error: Please select a valid Python interpreter
Python
4 votes208 views6 answers
Eval function in python
Python
0 vote167 views1 answer
Python string: iterate string
Python
0 vote102 views1 answer
String maniupulation in python
Python
5 votes118 views2 answers
Numpy print full array
Python
0 vote108 views1 answer
Numpy int64 to int
Python
0 vote135 views2 answers
Create multi new column from apply pandas
Python
16 votes122 views6 answers
Joins in pandas
Python
2 votes106 views1 answer
Sqlite operational error no such column
Python