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 vote243 views1 answer
Mutiple codition datafrarme
Python
0 vote242 views1 answer
Length of list without len function
Python
0 vote251 views1 answer
Python turtle (built in shape) image size
Python
0 vote267 views1 answer
Colored loop in python turtle
Python
46 votes285 views6 answers
Python integer to string
Python
14 votes241 views3 answers
How to get id of user discord.py
Python
0 vote253 views2 answers
Sdf
Python
30 votes247 views2 answers
Python array usage
Python
8 votes307 views3 answers
Add new column based on condition on some other column in pandas.
Python
0 vote276 views1 answer
Fibonci in python
Python