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

0 vote230 views1 answer
Logarithmic scale fitting python
Python
13 votes176 views1 answer
Change background color of tkinter
Python
0 vote273 views1 answer
Efficiently count zero elements in numpy array?
Python
0 vote174 views2 answers
MultiValueDictKeyError django
Python
0 vote174 views1 answer
Jupyter notebook cell background color
Python
0 vote272 views1 answer
Putting in text in python
Python
0 vote230 views1 answer
Django queryset with multiple contain keyword
Python Django
2 votes204 views2 answers
Python get location of script
Python
1 vote192 views2 answers
{:.1%} print one decimal pandas
Python
4 votes185 views5 answers
How to find runner up score in python
Python