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| <!--- under the License. --><h2>Python API</h2> |
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| <h4>Python-first API</h4> |
| <p>MXNet provides a comprehensive and flexible Python API to serve a broad community of developers with different levels of experience and wide ranging requirements. Current efforts are focused on the |
| <a href="/versions/1.7.0/api/python/docs/api"></a>Gluon API. Gluon provides a clear, concise, and simple API for deep learning. It makes it easy to prototype, build, and train deep learning models without sacrificing training speed.</p> |
| <p>You can checkout the <a href="/versions/1.7.0/ecosystem">rich ecosystem</a> built around Apache MXNet Gluon, including <a href="https://d2l.ai">D2L.ai</a>, <a href="https://gluon-cv.mxnet.io">GluonCV</a>, |
| <a href="https://gluon-nlp.mxnet.io">GluonNLP</a> and <a href="https://gluon-ts.mxnet.io">GluonTS</a>.</p> |
| <p>While most of the usability improvement around training are focused on the python API, the performance of MXNet is accessible through a variety of different language bindings, checkout their respective API and guides below!</p> |
| </div> |
| |
| </div><h2>Other Bindings</h2> |
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| </div> <!-- closing outer wrapper --> |
| <div class="docs-architecture"> |
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| <h2>MXNet Architecture</h2> |
| <p> |
| Building a high-performance deep learning library |
| requires many systems-level design decisions. |
| In this design note, we share the rationale |
| for the specific choices made when designing _MXNet_. |
| We imagine that these insights may be useful |
| to both deep learning practitioners |
| and builders of other deep learning systems. |
| </p> |
| <h4>Deep Learning System Design Concepts</h4> |
| <p> |
| The following pages address general design concepts for deep learning systems. |
| Mainly, they focus on the following 3 areas: |
| abstraction, optimization, and trade-offs between efficiency and flexibility. |
| Additionally, we provide an overview of the complete MXNet system. |
| </p> |
| <ul><li><a href="/versions/1.7.0/api/architecture/exception_handling">Exception Handling in MXNet</a></li><li><a href="/versions/1.7.0/api/architecture/note_data_loading">Efficient Data Loaders</a></li><li><a href="/versions/1.7.0/api/architecture/note_engine">Dependency Engine</a></li><li><a href="/versions/1.7.0/api/architecture/note_memory">Memory Consumption</a></li><li><a href="/versions/1.7.0/api/architecture/overview">MXNet System Architecture</a></li><li><a href="/versions/1.7.0/api/architecture/program_model">Deep Learning Programming Paradigm</a></li></ul> |
| </div> |
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| <h2>Developer Guide</h2> |
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