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mxnet.np.linspace — Apache MXNet documentation
mxnet.np.linspace linspace ( start , stop , num=50 , endpoint=True , retstep=False , dtype=None , axis=0 , device=Non...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.linspace.htmlRegistered: Fri Jul 25 09:59:36 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 141.7K bytes - Viewed (0) -
mxnet.np.repeat — Apache MXNet documentation
mxnet.np.repeat repeat ( a , repeats , axis=None ) Repeat elements of an array. Parameters a ( array_like ) – Input a...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.repeat.htmlRegistered: Fri Jul 25 09:59:46 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 136.6K bytes - Viewed (0) -
symbol.random — Apache MXNet documentation
symbol.random Random distribution generator Symbol API of MXNet. Functions uniform ([low, high, shape, dtype]) Draw r...mxnet.apache.org/versions/master/api/python/docs/api/legacy/symbol/random/index.htmlRegistered: Fri Jul 25 10:38:20 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 208.1K bytes - Viewed (0) -
mxnet.runtime.feature_list — Apache MXNet docum...
mxnet.runtime.feature_list feature_list ( ) [source] Check the library for compile-time features. The list of feature...mxnet.apache.org/versions/master/api/python/docs/api/runtime/generated/mxnet.runtime.feature_list...Registered: Fri Jul 25 10:38:24 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 142K bytes - Viewed (0) -
Features | Apache MXNet
mxnet.apache.org/versions/master/features/Registered: Fri Jul 25 10:51:15 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 22.7K 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 Jul 25 09:52:46 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 185.6K 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 Jul 25 09:52:55 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 143.3K bytes - Viewed (0) -
Training — Apache MXNet documentation
Training MXNet Gluon Fit API Trainer Learning Rates Normalization Blocks Did this page help you? Yes No Thanks for yo...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/training/index.htmlRegistered: Fri Jul 25 09:52:18 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 145.1K 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 Jul 25 09:52:12 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 177.9K bytes - Viewed (0) -
mxnet.np.delete — Apache MXNet documentation
mxnet.np.delete delete ( arr , obj , axis=None ) Return a new array with sub-arrays along an axis deleted. For a one ...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.delete.htmlRegistered: Fri Jul 25 10:02:50 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 138.2K bytes - Viewed (0)