api/python/docs/_sources/tutorials/packages/index.rst

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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: NP API
      :link: np/index.html

      Hints on MXNet NP and NPX modules, an array library that provides NumPy-compatible interfaces.

   .. 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.

   .. card::
      :title: Legacy
      :link: legacy/index.html

      Legacy modules from MXNet 1.x.

.. toctree::
   :hidden:
   :glob:

   */index*