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

6 votes198 views3 answers
Download image from url python 3
Python
4 votes160 views3 answers
No module named 'xgboost'
Python
1 vote183 views1 answer
Tkinter boilerplate
Python
20 votes177 views3 answers
Python download image
Python
0 vote173 views1 answer
Create a typo with python
Python
0 vote185 views1 answer
How to remove blank lines from string in python
Python
4 votes168 views1 answer
Standardscaler into df data frame pandas
Python
8 votes181 views3 answers
Check pandas version
Python
7 votes183 views1 answer
How to give column names in pandas when creating dataframe
Python
2 votes146 views1 answer
Os.getlogin() python
Python