Load saved model

from keras.models import load_model
model = load_model('my_model.h5')

Source: stackoverflow.com

Load saved model

#Now you can predict results for a new entry image.

from keras.preprocessing import image

test_image = image.load_img(imagePath, target_size = (64, 64)) 
test_image = image.img_to_array(test_image)
test_image = np.expand_dims(test_image, axis = 0)

#predict the result
result = model.predict(test_image)

Source: stackoverflow.com

Load saved model

# compile the model in order to make predictions
model.compile(optimizer = 'adam', loss = 'binary_crossentropy', metrics = ['accuracy'])

Source: stackoverflow.com

Similar codes

19 votes401 views3 answers
Simplified if else python
Python
0 vote325 views1 answer
Spacy text annotation dict comprehension
Python
1 vote310 views1 answer
Code for python shell 3.8.5 games
Python
8 votes319 views2 answers
How to count the number of files in a directory using Python
Python
219 votes677 views6 answers
Random number python
Python
6 votes287 views2 answers
Pandas exclude columns
Python
-1 vote340 views6 answers
List comprehension python
Python
10 votes279 views2 answers
How to use modulo in python
Python
0 vote286 views1 answer
Pyplot aera
Python
0 vote297 views1 answer
Python square all numbers in list
Python