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 vote164 views1 answer
Tk inter entry
Python
185 votes304 views6 answers
How to update pip in python
Python
11 votes163 views4 answers
Create a 2d array in python
Python
0 vote159 views1 answer
How return the data timestamp after some days in python
Python
11 votes153 views3 answers
Pandas random sample
Python
0 vote191 views1 answer
Break line text opencv
Python
1 vote108 views1 answer
Create a response object python
Python
0 vote155 views1 answer
Root = tk() python 3
Python
1 vote160 views1 answer
Python reference script directory
Python
12 votes164 views6 answers
Python intersection of two lists
Python