load saved model tensorflow
new_model = tf.keras.models.load_model('my_model.h5')load saved model tensorflow
new_model = tf.keras.models.load_model('my_model.h5')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('./'))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.Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
