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Results 141 - 150 of 549 for host:mxnet.apache.org (0.04 sec)
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mxnet.np.floor — Apache MXNet documentation
mxnet.np.floor floor ( x , out=None , **kwargs ) Return the floor of the input, element-wise. The ceil of the ndarray...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.floor.htmlRegistered: Wed Apr 09 07:09:00 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 136.3K bytes - Viewed (0) -
Image Augmentation — Apache MXNet documentation
Image Augmentation Augmentation is the process of randomly adjusting the dataset samples used for training. As a resu...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/data/data_augmentation....Registered: Wed Apr 09 06:56:15 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 186.6K 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: Wed Apr 09 06:56:51 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 168.5K 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: Wed Apr 09 06:57:22 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 143.3K bytes - Viewed (0) -
mxnet.np.zeros_like — Apache MXNet documentation
mxnet.np.zeros_like zeros_like ( a , dtype=None , order='C' , device=None , out=None ) Return an array of zeros with ...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.zeros_like.htmlRegistered: Wed Apr 09 06:57:26 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 138.3K bytes - Viewed (0) -
Using AMP: Automatic Mixed Precision — Apache M...
Using AMP: Automatic Mixed Precision Training Deep Learning networks is a very computationally intensive task. Novel ...mxnet.apache.org/versions/master/api/python/docs/tutorials/performance/backend/amp.htmlRegistered: Wed Apr 09 06:57:33 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 192.2K bytes - Viewed (0) -
mxnet.np.kron — Apache MXNet documentation
mxnet.np.kron kron ( a , b ) Kronecker product of two arrays. Computes the Kronecker product, a composite array made ...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.kron.htmlRegistered: Wed Apr 09 07:03:44 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 136.6K 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: Wed Apr 09 07:04:00 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 138.2K bytes - Viewed (0) -
mxnet.np.fmax — Apache MXNet documentation
mxnet.np.fmax fmax ( x1 , x2 , out=None , **kwargs ) Returns element-wise maximum of the input arrays with broadcasti...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.fmax.htmlRegistered: Wed Apr 09 07:15:20 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 135.7K bytes - Viewed (0) -
mxnet.np.divide — Apache MXNet documentation
mxnet.np.divide divide ( x1 , x2 , out=None , **kwargs ) Returns a true division of the inputs, element-wise. Note Th...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.divide.htmlRegistered: Wed Apr 09 07:15:24 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 135.7K bytes - Viewed (0)