load model keras
from tensorflow import keras
model = keras.models.load_model('path/to/location')load model keras
from tensorflow import keras
model = keras.models.load_model('path/to/location')load saved model
from keras.models import load_model
model = load_model('my_model.h5')load saved model
# compile the model in order to make predictions
model.compile(optimizer = 'adam', loss = 'binary_crossentropy', metrics = ['accuracy'])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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