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

31 votes119 views2 answers
Matplotlib 3.0.3 wheel file
Python
0 vote158 views1 answer
Concatenacion python
Python
0 vote83 views1 answer
Loop through words in a string python
Python
0 vote109 views1 answer
Python merge two lists alternating
Python
1 vote137 views1 answer
Create dict from two lists
Python
17 votes116 views2 answers
WARNING: You are using pip version 19.2.3, however version 21.2.4 is available.
Python
0 vote152 views1 answer
Django admin.py date format
Python Django
0 vote122 views1 answer
ImportError: cannot import name 'Request' from 'urllib2' (unknown location)
Python
0 vote122 views1 answer
Python opencv create new image
Python
0 vote132 views3 answers
Waitress
Python