What is the difference between tf.keras.layers versus tf.layers?

Question

What is the difference between tf.keras.layers versus tf.layers?
E.g. both of them have Conv2d, do they provide different outputs?
Is there any benefits if you mix

Answer 1

tf.keras.layers.Conv2d is a tensorflow-keras layer while tf.layers.max_pooling2d is a tensorflow 'native layer'

You cannot use a native layer directly within a Keras model, as it will be missing certain attributes required by the Keras API.

However, it is possible to use native layer if wrapped within a tensorflow-keras Lambda layer. A link to the documentation for this is below.

https://www.tensorflow.org/api_docs/python/tf/keras/layers/Lambda