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mxnet.np.arctan — Apache MXNet documentation
mxnet.np.arctan arctan ( x , out=None , **kwargs ) Trigonometric inverse tangent, element-wise. The inverse of tan, s...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.arctan.htmlRegistered: Fri Nov 15 08:01:32 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 136.9K bytes - Viewed (0) -
mxnet.np.log1p — Apache MXNet documentation
mxnet.np.log1p log1p ( x , out=None , **kwargs ) Return the natural logarithm of one plus the input array, element-wi...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.log1p.htmlRegistered: Fri Nov 15 08:00:58 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 136.1K 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: Fri Nov 15 07:43:01 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 196.6K bytes - Viewed (0) -
Step 3: Automatic differentiation with autograd...
Step 3: Automatic differentiation with autograd In this step, you learn how to use the MXNet autograd package to perf...mxnet.apache.org/versions/master/api/python/docs/tutorials/getting-started/crash-course/3-autogra...Registered: Fri Nov 15 07:45:42 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 181.8K bytes - Viewed (0) -
Packages — Apache MXNet documentation
Packages The documents in this unit dive into the details how each MXNet module works. High Level APIs Gluon gluon/in...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/index.htmlRegistered: Fri Nov 15 07:45:30 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 142.9K bytes - Viewed (0) -
mxnet.np.rollaxis — Apache MXNet documentation
mxnet.np.rollaxis rollaxis ( a , axis , start=0 ) Roll the specified axis backwards, until it lies in a given positio...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.rollaxis.htmlRegistered: Fri Nov 15 07:52:52 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 135.9K bytes - Viewed (0) -
mxnet.np.atleast_3d — Apache MXNet documentation
mxnet.np.atleast_3d atleast_3d ( *arys ) Convert inputs to arrays with at least three dimension. Parameters arys2 , ....mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.atleast_3d.htmlRegistered: Fri Nov 15 07:52:56 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 137.5K 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: Fri Nov 15 07:52:48 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 136.2K bytes - Viewed (0) -
mxnet.np.arcsinh — Apache MXNet documentation
mxnet.np.arcsinh arcsinh ( x , out=None , **kwargs ) Inverse hyperbolic cosine, element-wise. >>>np.asinh is np.arcsi...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.arcsinh.htmlRegistered: Fri Nov 15 08:02:31 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 136.6K bytes - Viewed (0) -
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: Fri Nov 15 08:02:59 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 133.9K bytes - Viewed (0)