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Extend — Apache MXNet documentation
Extend The following tutorials will help you learn how to customize MXNet. Custom Layers for Gluon ../packages/gluon/...mxnet.apache.org/versions/master/api/python/docs/tutorials/extend/index.htmlRegistered: Fri Mar 22 08:29:37 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 142.8K bytes - Viewed (0) -
Indexing — Apache MXNet documentation
Indexing ndarrays can be indexed using the standard Python x[obj] syntax, where x is the array and obj the selection....mxnet.apache.org/versions/master/api/python/docs/api/np/arrays.indexing.htmlRegistered: Fri Mar 22 08:28:33 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 167.6K bytes - Viewed (0) -
What is NP on MXNet — Apache MXNet documentation
What is NP on MXNet NP on MXNet provides a NumPy-like interface with extensions for deep learning. It contains two mo...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/np/index.htmlRegistered: Fri Mar 22 08:28:43 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 143.3K bytes - Viewed (0) -
Gotchas using NumPy in Apache MXNet — Apache MX...
Gotchas using NumPy in Apache MXNet The goal of this tutorial is to explain some common misconceptions about using Nu...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/legacy/ndarray/gotchas_numpy_...Registered: Fri Mar 22 08:28:02 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 179.5K bytes - Viewed (0) -
MXNet on the Cloud — Apache MXNet documentation
MXNet on the Cloud Deep learning can require extremely powerful hardware, often for unpredictable durations of time. ...mxnet.apache.org/versions/master/api/python/docs/tutorials/deploy/run-on-aws/cloud.htmlRegistered: Fri Mar 22 08:29:02 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 145.6K bytes - Viewed (0) -
Kullback-Leibler (KL) Divergence — Apache MXNet...
Kullback-Leibler (KL) Divergence Kullback-Leibler (KL) Divergence is a measure of how one probability distribution is...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/loss/kl_divergence.htmlRegistered: Fri Mar 22 08:23:30 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 177.9K bytes - Viewed (0) -
Parameter and Block Naming — Apache MXNet docum...
Parameter and Block Naming In gluon, each Parameter or Block has a name. Parameter names and Block names can be autom...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/blocks/naming.htmlRegistered: Fri Mar 22 08:23:39 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 168.5K bytes - Viewed (0) -
Activation Blocks — Apache MXNet documentation
Activation Blocks Deep neural networks are a way to express a nonlinear function with lots of parameters from input d...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/blocks/activations/acti...Registered: Fri Mar 22 08:24:24 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 185.6K bytes - Viewed (0) -
Gluon: from experiment to deployment — Apache M...
Gluon: from experiment to deployment Overview MXNet Gluon API comes with a lot of great features, and it can provide ...mxnet.apache.org/versions/master/api/python/docs/tutorials/getting-started/gluon_from_experiment_...Registered: Fri Mar 22 08:23:59 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 187.4K bytes - Viewed (0) -
Moving to MXNet from Other Frameworks — Apache ...
Moving to MXNet from Other Frameworks Comparison Guides PyTorch to MXNet (MNIST) pytorch.html This guide compares PyT...mxnet.apache.org/versions/master/api/python/docs/tutorials/getting-started/to-mxnet/index.htmlRegistered: Fri Mar 22 08:23:23 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 144.1K bytes - Viewed (0)