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Results 171 - 180 of 549 for host:mxnet.apache.org (0.39 sec)
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Step 4: Necessary components that are not in th...
Step 4: Necessary components that are not in the network Data and models are not the only components that you need to...mxnet.apache.org/versions/master/api/python/docs/tutorials/getting-started/crash-course/4-compone...Registered: Fri Dec 12 08:54:43 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 193.2K bytes - Viewed (0) -
Crash Course — Apache MXNet documentation
Crash Course This crash course will give you a quick overview of MXNet. You will review core concepts like NDArray (m...mxnet.apache.org/versions/master/api/python/docs/tutorials/getting-started/crash-course/index.htmlRegistered: Fri Dec 12 08:54:47 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 145.5K bytes - Viewed (0) -
Trainer — Apache MXNet documentation
Trainer Training a neural network model consists of iteratively performing three simple steps. The first step is the ...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/training/trainer.htmlRegistered: Fri Dec 12 08:58:37 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 173.7K 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: Fri Dec 12 08:58:28 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 186.6K bytes - Viewed (0) -
mxnet.np.broadcast_to — Apache MXNet documentation
mxnet.np.broadcast_to broadcast_to ( array , shape ) Broadcast an array to a new shape. Parameters array ( ndarray or...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.broadcast_to.htmlRegistered: Fri Dec 12 09:08:25 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 134.5K bytes - Viewed (0) -
mxnet.np.random.chisquare — Apache MXNet docume...
mxnet.np.random.chisquare chisquare ( df , size=None , dtype=None , device=None ) Draw samples from a chi-square dist...mxnet.apache.org/versions/master/api/python/docs/api/np/random/generated/mxnet.np.random.chisquar...Registered: Fri Dec 12 09:16:41 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 144.9K bytes - Viewed (0) -
mxnet.np.reciprocal — Apache MXNet documentation
mxnet.np.reciprocal reciprocal ( x , out=None , **kwargs ) Return the reciprocal of the argument, element-wise. Calcu...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.reciprocal.htmlRegistered: Fri Dec 12 09:15:56 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 136.1K 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: Fri Dec 12 08:59:50 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 138.3K bytes - Viewed (0) -
RowSparseNDArray - NDArray for Sparse Gradient ...
RowSparseNDArray - NDArray for Sparse Gradient Updates Motivation Many real world datasets deal with high dimensional...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/legacy/ndarray/sparse/row_spa...Registered: Fri Dec 12 09:00:00 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 233.2K 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 Dec 12 08:59:20 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 179.5K bytes - Viewed (0)