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 vote117 views1 answer
Convert 1 digit to 2 digit python
Python
0 vote115 views1 answer
Python find matching string regardless of case
Python
0 vote125 views1 answer
How to find outliers in python
Python
1 vote101 views1 answer
Getting multiple selected value django
Python
-2 votes112 views1 answer
Configure your keyboards
Python
1 vote97 views1 answer
Minimum from list of tuples
Python
1 vote109 views1 answer
Python program to keep your computer awake
Python
28 votes114 views2 answers
Drop multiple columns in python
Python
1 vote115 views1 answer
Read shp in python
Python
3 votes128 views2 answers
Pygame bg color
Python