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

0 vote326 views1 answer
Python read column data from text file
Python
0 vote334 views1 answer
"serializers" is not defined
Python
7 votes354 views4 answers
Pandas apply function to column
Python
1 vote310 views1 answer
How to get the live website html in python
Python
0 vote350 views1 answer
Day 27: Testing hackerrank solution python
Python
0 vote308 views1 answer
Name 'q' is not defined in jupyter notebook
Python
0 vote343 views1 answer
Move one column value down by one column in pandas
Python
0 vote371 views1 answer
Unique file name in django
Python Django
0 vote327 views1 answer
Python keyboard lib does not work
Python
2 votes343 views2 answers
Tkinter treeview
Python