Code examples documented on keras.io will work fine with tf.keras, but you need to change the imports.
For example, consider this keras.io code:
from keras.layers import Dense
output_layer = Dense(10)🚩You must change the imports like this (tf.keras):
from tensorflow.keras.layers import Dense
output_layer = Dense(10)Or, simply use full paths, if you prefer:
# This is more verbose, but can easily see which packages to use,
# and to avoid confusion between standard classes and custom classes.
from tensorflow import keras
output_layer = keras.layers.Dense(10)This is more verbose, but can easily see which packages to use and to avoid confusion, between standard classes and custom classes.
In production code, I (author of this book) prefer the previous approach. Many people also use from tensorflow.keras import layers followed by layers.Dense(10).