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Packages
========
The documents in this unit dive into the details how each MXNet module works.
High Level APIs
---------------
.. container:: cards
.. card::
:title: Gluon
:link: gluon/index.html
MXNet's imperative interface for Python. If you're new to MXNet, start here!
Shared APIs
-----------
.. container:: cards
.. card::
:title: NDArray API
:link: ndarray/index.html
How to use the NDArray API to manipulate data.
A useful set of tutorials for beginners.
.. card::
:title: Symbol API
:link: ../../api/symbol/
MXNet Symbol API has been deprecated. API documentation is still available for reference.
.. card::
:title: Autograd API
:link: autograd/index.html
How to use Automatic Differentiation with the Autograd API.
.. card::
:title: Learning Rate
:link: gluon/training/learning_rates/learning_rate_schedules.html
How to use the Learning Rate Scheduler.
.. card::
:title: KVStore API
:link: kvstore/index.html
How to use the KVStore API for distributed training.
.. card::
:title: Data APIs
:link: gluon/data/index.html
How to use MXNet's data APIs.
.. card::
:title: Visualizations
:link: viz/index.html
How to use MXNet's visualization features.
.. card::
:title: ONNX
:link: onnx/index.html
How to use Open Neural Network Exchange (ONNX) with MXNet.
.. card::
:title: Optimizer
:link: optimizer/index.html
How to use the optimizers.
.. toctree::
:hidden:
:glob:
*/index*