The `mxnet.gluon.nn.HybridSequential` is a class in the MXNet Gluon library that represents a sequential container for composing neural network layers in a hybrid manner. It extends the `mxnet.gluon.nn.HybridBlock` class and provides a simple way to construct deep learning models by stacking multiple layers together. The `HybridSequential` allows for both imperative and symbolic execution, providing flexibility in model development and optimization. Users can add layers to the `HybridSequential` object in a sequential fashion, and it automatically manages the computation flow between them.
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