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

0 vote129 views1 answer
Django iterating through objects
Python Django
231 votes359 views6 answers
Random numbers in python
Python
7 votes151 views2 answers
Python check for duplicate
Python
0 vote134 views1 answer
Python array find lambda
Python
0 vote179 views1 answer
Elementwise comparison list python
Python
0 vote178 views1 answer
Merge two Querysets in Python Django while preserving Queryset methods
Python Django
0 vote187 views1 answer
Pyspark rdd method
Python
1 vote131 views2 answers
Python get attributes of class
Python
2 votes181 views1 answer
Ln in python
Python
0 vote135 views1 answer
Kroki - hello.dot
Python