Sequential builds a Model from a list of one or more Layers.

This function is part of the DeepLearning package, so it can be used in the short form Sequential(..) only after executing the command with(DeepLearning). However, it can always be accessed through the long form of the command by using DeepLearning[Sequential](..).

The implementation of Sequential uses the tf.keras.Sequential command from the TensorFlow Python API. Consult the TensorFlow Python API documentation for tf.keras.Sequential for more information on its use during TensorFlow computations.

The DeepLearning[Sequential] command was introduced in Maple 2021.

For more information on Maple 2021 changes, see Updates in Maple 2021.