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mxnet.np.round_ — Apache MXNet documentation
mxnet.np.round_ round_ ( a , decimals=0 , out=None ) Round an array to the given number of decimals. See also around(...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.round_.htmlRegistered: Wed Jun 04 08:01:26 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 133.9K bytes - Viewed (0) -
mxnet.np.trapz — Apache MXNet documentation
mxnet.np.trapz trapz ( y , x=None , dx=1.0 , axis=-1 ) Integrate along the given axis using the composite trapezoidal...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.trapz.htmlRegistered: Wed Jun 04 08:00:52 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 138.4K bytes - Viewed (0) -
mxnet.np.positive — Apache MXNet documentation
mxnet.np.positive positive ( x , out=None , **kwargs ) Computes the numerical positive of each element x_i (i.e.,`y_i...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.positive.htmlRegistered: Wed Jun 04 08:01:01 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 135K bytes - Viewed (0) -
mxnet.np.lcm — Apache MXNet documentation
mxnet.np.lcm lcm ( x1 , x2 , out=None , **kwargs ) Returns the lowest common multiple of |x1| and |x2| Parameters x2 ...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.lcm.htmlRegistered: Wed Jun 04 08:01:43 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 135.8K bytes - Viewed (0) -
mxnet.np.random.laplace — Apache MXNet document...
mxnet.np.random.laplace laplace ( loc=0.0 , scale=1.0 , size=None , dtype=None , device=None , out=None ) Draw random...mxnet.apache.org/versions/master/api/python/docs/api/np/random/generated/mxnet.np.random.laplace....Registered: Wed Jun 04 08:02:54 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 142.7K bytes - Viewed (0) -
NDArray Contexts — Apache MXNet documentation
NDArray Contexts Overview This guide will introduce you to managing CPU versus GPU contexts for handling data. This c...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/legacy/ndarray/03-ndarray-con...Registered: Wed Jun 04 07:38:50 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 157.9K bytes - Viewed (0) -
CSRNDArray - NDArray in Compressed Sparse Row S...
CSRNDArray - NDArray in Compressed Sparse Row Storage Format Many real world datasets deal with high dimensional spar...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/legacy/ndarray/sparse/csr.htmlRegistered: Wed Jun 04 07:39:00 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 229K bytes - Viewed (0) -
Loss functions — Apache MXNet documentation
Loss functions Loss functions are used to train neural networks and to compute the difference between output and targ...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/loss/loss.htmlRegistered: Wed Jun 04 07:41:14 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 196.6K bytes - Viewed (0) -
Gluon Datasets and DataLoader — Apache MXNet do...
Gluon Dataset s and DataLoader One of the most critical steps for model training and inference is loading the data: w...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/data/datasets.htmlRegistered: Wed Jun 04 07:41:03 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 211.5K bytes - Viewed (0) -
mxnet.np.column_stack — Apache MXNet documentation
mxnet.np.column_stack column_stack ( tup ) Stack 1-D arrays as columns into a 2-D array. Take a sequence of 1-D array...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.column_stack.htmlRegistered: Wed Jun 04 07:52:50 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 136.2K bytes - Viewed (0)