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('./'))Copyright © 2021 Codeinu
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