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 vote119 views8 answers
Empaquetado y manejo dependencias en python
Python
11 votes122 views3 answers
Python pandas change column order
Python
1 vote138 views1 answer
Django filter text first character upper case
Python
4 votes134 views2 answers
Amc
Python
12 votes124 views3 answers
Python delete all files in directory
Python
115 votes121 views6 answers
Pip install python
Python
0 vote155 views1 answer
How to add phone number to django user model
Python Django
1 vote118 views1 answer
Pip install flake8
Python
0 vote120 views1 answer
Pandas dataframe unique multiple columns
Python
0 vote130 views1 answer
Music distorted on discord
Python