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mxnet.np.float_power — Apache MXNet documentation
27., 16., 5.], [ 0., 1., 8., 27., 16., 5.]]) Did...x1 , 3 ) array([ 0., 1., 8., 27., 64., 125.]) Raise the bases...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.float_power.htmlRegistered: Fri Nov 15 08:08:30 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 139.8K bytes - Viewed (0) -
The NP on MXNet cheat sheet — Apache MXNet docu...
]) [27]: b + a # Addition [27]: array([ 5., 8.,...default datatype is float32 [04:51:27] /work/mxnet/src/storage/storage.cc:202:...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/np/cheat-sheet.htmlRegistered: Fri Nov 15 07:51:44 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 216.3K bytes - Viewed (0) -
mxnet.np.power — Apache MXNet documentation
27., 16., 5.], [ 0., 1., 8., 27., 16., 5.]]) Did...x1 , 3 ) array([ 0., 1., 8., 27., 64., 125.]) Raise the bases...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.power.htmlRegistered: Fri Nov 15 08:08:36 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 137.6K bytes - Viewed (0) -
mxnet.npx.roi_pooling — Apache MXNet documentation
mxnet.apache.org/versions/master/api/python/docs/api/npx/generated/mxnet.npx.roi_pooling.htmlRegistered: Fri Nov 15 08:15:26 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 143.7K bytes - Viewed (0) -
mxnet.np.cbrt — Apache MXNet documentation
mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.cbrt.htmlRegistered: Fri Nov 15 08:05:39 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 134.9K bytes - Viewed (0) -
mxnet.recordio — Apache MXNet documentation
mxnet.apache.org/versions/master/api/python/docs/api/legacy/recordio/index.htmlRegistered: Fri Nov 15 08:37:03 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 181.7K bytes - Viewed (0) -
mxnet.recordio — Apache MXNet documentation
mxnet.apache.org/versions/master/api/python/docs/_modules/mxnet/recordio.htmlRegistered: Fri Nov 15 08:46:52 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 196.1K bytes - Viewed (0) -
The N-dimensional array (ndarray) — Apache MXNe...
sum ( axis = 0 ) array([[27, 30, 33], [36, 39, 42], [45,...( 1 ), x . sum ( 2 ) (array([[27, 30, 33], [36, 39, 42], [45,...mxnet.apache.org/versions/master/api/python/docs/api/np/arrays.ndarray.htmlRegistered: Fri Nov 15 07:48:47 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 188.6K bytes - Viewed (0) -
ndarray — Apache MXNet documentation
27. ], [ 22. , 29. , 36. ], [ 27. , 36. , 45. ]]...21., 22., 23.], [ 24., 25., 26., 27., 28., 29.], [ 30., 31., 32.,...mxnet.apache.org/versions/master/api/python/docs/api/legacy/ndarray/ndarray.htmlRegistered: Fri Nov 15 08:36:56 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 1.8M bytes - Viewed (0) -
Step 2: Create a neural network — Apache MXNet ...
mxnet.apache.org/versions/master/api/python/docs/tutorials/getting-started/crash-course/2-create-...Registered: Fri Nov 15 07:45:19 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 237.5K bytes - Viewed (0)