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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 Oct 24 10:27:59 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 193.2K 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 Oct 24 10:27:36 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 185.6K 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 Oct 24 10:28:17 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 186.6K 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 Oct 24 10:28:57 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 143.3K 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 Oct 24 10:27:17 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 233.2K bytes - Viewed (0) -
Custom Layers — Apache MXNet documentation
Custom Layers While Gluon API for Apache MxNet comes with a decent number of pre-defined layers , at some point one m...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/blocks/custom-layer.htmlRegistered: Fri Oct 24 10:28:29 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 191.8K 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 Oct 24 10:39:40 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 145.6K bytes - Viewed (0) -
mxnet.np.dot — Apache MXNet documentation
mxnet.np.dot dot ( a , b , out=None ) Dot product of two arrays. Specifically, If both a and b are 1-D arrays, it is ...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.dot.htmlRegistered: Fri Oct 24 10:40:18 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 140.7K bytes - Viewed (0) -
mxnet.np.argsort — Apache MXNet documentation
mxnet.np.argsort argsort ( a , axis=-1 , descending=False , stable=True ) Returns the indices that sort an array x al...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.argsort.htmlRegistered: Fri Oct 24 11:06:31 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 140.2K bytes - Viewed (0) -
np.random — Apache MXNet documentation
np.random Simple random data choice (a[, size, replace, p, device, out]) Generates a random sample from a given 1-D a...mxnet.apache.org/versions/master/api/python/docs/api/np/random/index.htmlRegistered: Fri Oct 24 11:06:53 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 147.2K bytes - Viewed (0)