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Training — Apache MXNet documentation
Training MXNet Gluon Fit API Trainer Learning Rates Normalization Blocks Did this page help you? Yes No Thanks for yo...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/training/index.htmlRegistered: Fri Dec 12 08:56:24 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 145.1K bytes - Viewed (0) -
mxnet.np.resize — Apache MXNet documentation
mxnet.np.resize resize ( a , new_shape ) Return a new array with the specified shape. If the new array is larger than...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.resize.htmlRegistered: Fri Dec 12 09:06:56 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 136.9K bytes - Viewed (0) -
mxnet.np.flatnonzero — Apache MXNet documentation
mxnet.np.flatnonzero flatnonzero ( a ) Return indices that are non-zero in the flattened version of a. This is equiva...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.flatnonzero.htmlRegistered: Fri Dec 12 09:20:45 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 136K bytes - Viewed (0) -
mxnet.np.remainder — Apache MXNet documentation
mxnet.np.remainder remainder ( x1 , x2 , out=None , **kwargs ) Return element-wise remainder of division. Parameters ...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.remainder.htmlRegistered: Fri Dec 12 09:20:31 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 134.9K bytes - Viewed (0) -
mxnet.np.random.exponential — Apache MXNet docu...
mxnet.np.random.exponential exponential ( scale=1.0 , size=None , device=None , out=None ) Draw samples from an expon...mxnet.apache.org/versions/master/api/python/docs/api/np/random/generated/mxnet.np.random.exponent...Registered: Fri Dec 12 09:19:56 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 142.9K bytes - Viewed (0) -
Introduction — Apache MXNet documentation
Introduction About MXNet Apache MXNet is an open-source deep learning framework that provides a comprehensive and fle...mxnet.apache.org/versions/master/api/python/docs/tutorials/getting-started/crash-course/0-introdu...Registered: Fri Dec 12 08:55:17 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 154K bytes - Viewed (0) -
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 Dec 12 08:54:43 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 193.2K bytes - Viewed (0) -
Crash Course — Apache MXNet documentation
Crash Course This crash course will give you a quick overview of MXNet. You will review core concepts like NDArray (m...mxnet.apache.org/versions/master/api/python/docs/tutorials/getting-started/crash-course/index.htmlRegistered: Fri Dec 12 08:54:47 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 145.5K bytes - Viewed (0) -
Trainer — Apache MXNet documentation
Trainer Training a neural network model consists of iteratively performing three simple steps. The first step is the ...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/training/trainer.htmlRegistered: Fri Dec 12 08:58:37 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 173.7K 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 Dec 12 08:58:28 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 186.6K bytes - Viewed (0)