Compile and train cnn models

model.compile(optimizer='adam',              loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),              metrics=['accuracy'])history = model.fit(train_images, train_labels, epochs=10,                     validation_data=(test_images, test_labels))

Source: tensorflow.org

Similar codes

31 votes193 views6 answers
Strip whitespace python
Python
0 vote210 views1 answer
Flask return 404
Python
2 votes182 views2 answers
Check multiple keys in python dict
Python
4 votes200 views3 answers
Update python ubuntu
Python
6 votes221 views6 answers
Python dict
Python
1 vote253 views1 answer
Django crispy forms foundation for site
Python
1 vote215 views1 answer
Proper tree in data structure
Python
0 vote192 views1 answer
Matlab find 2d index
Python
1 vote196 views1 answer
Frequency of occurrence of that element in the list and the positions
Python
0 vote226 views1 answer
How to get cube root python
Python