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Losses — Apache MXNet documentation
Losses Custom Loss Blocks Kullback-Leibler (KL) Divergence Loss functions Did this page help you? Yes No Thanks for y...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/loss/index.htmlRegistered: Mon Dec 16 07:10:49 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 145.1K bytes - Viewed (0) -
Text Tutorials — Apache MXNet documentation
Text Tutorials These tutorials will help you learn how to create and use models that work with text and other natural...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/text/index.htmlRegistered: Mon Dec 16 07:10:58 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 151.2K bytes - Viewed (0) -
Gluon — Apache MXNet documentation
Gluon Getting started A 60-minute Gluon crash course ../../getting-started/crash-course/index.html Six 10-minute tuto...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/index.htmlRegistered: Mon Dec 16 07:11:33 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 150.9K bytes - Viewed (0) -
Parameter Management — Apache MXNet documentation
Parameter Management The ultimate goal of training deep neural networks is finding good parameter values for a given ...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/blocks/parameters.htmlRegistered: Mon Dec 16 07:10:39 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 196.8K bytes - Viewed (0) -
Blocks — Apache MXNet documentation
Blocks Custom Layers Hybridize Initialization Parameter and Block Naming Layers and Blocks Parameter Management Savin...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/blocks/index.htmlRegistered: Mon Dec 16 07:10:22 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 145.4K bytes - Viewed (0) -
mxnet.np.atleast_1d — Apache MXNet documentation
mxnet.np.atleast_1d atleast_1d ( *arys ) Convert inputs to arrays with at least one dimension. Scalar inputs are conv...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.atleast_1d.htmlRegistered: Mon Dec 16 07:22:41 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 136.3K bytes - Viewed (0) -
Array creation routines — Apache MXNet document...
Array creation routines Ones and zeros eye (N[, M, k, dtype, device]) Return a 2-D array with ones on the diagonal an...mxnet.apache.org/versions/master/api/python/docs/api/np/routines.array-creation.htmlRegistered: Mon Dec 16 07:22:49 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 146.6K bytes - Viewed (0) -
Visualization — Apache MXNet documentation
Visualization How to Visualize Neural Networks as Computation Graph https://mxnet.apache.org/api/faq/visualize_graph ...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/viz/index.htmlRegistered: Mon Dec 16 07:13:55 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 143.5K bytes - Viewed (0) -
mxnet.np.repeat — Apache MXNet documentation
mxnet.np.repeat repeat ( a , repeats , axis=None ) Repeat elements of an array. Parameters a ( array_like ) – Input a...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.repeat.htmlRegistered: Mon Dec 16 07:21:28 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 136.6K bytes - Viewed (0) -
mxnet.np.ravel — Apache MXNet documentation
mxnet.np.ravel ravel ( x ) Return a contiguous flattened array. A 1-D array, containing the elements of the input, is...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.ravel.htmlRegistered: Mon Dec 16 07:21:24 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 136.5K bytes - Viewed (0)