- Sort Score
- Num 10 results
- Language All
- Labels All
Results 131 - 140 of 549 for host:mxnet.apache.org (0.04 seconds)
-
oneDNN Quantization — Apache MXNet documentation
oneDNN Quantization Introduction After successful model building and achieving desired accuracy on the test data, oft...mxnet.apache.org/versions/master/api/python/docs/tutorials/performance/backend/dnnl/dnnl_quantiza...Thu Jan 05 05:04:49 GMT 2023 193.3K bytes -
mxnet.npx.convolution — Apache MXNet documentation
mxnet.npx.convolution convolution ( data=None , weight=None , bias=None , kernel=None , stride=None , dilate=None , p...mxnet.apache.org/versions/master/api/python/docs/api/npx/generated/mxnet.npx.convolution.htmlThu Jan 05 05:04:49 GMT 2023 150.4K bytes -
Kullback-Leibler (KL) Divergence — Apache MXNet...
Kullback-Leibler (KL) Divergence Kullback-Leibler (KL) Divergence is a measure of how one probability distribution is...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/loss/kl_divergence.htmlThu Jan 05 05:04:49 GMT 2023 177.9K bytes -
Moving to MXNet from Other Frameworks — Apache ...
Moving to MXNet from Other Frameworks Comparison Guides PyTorch to MXNet (MNIST) pytorch.html This guide compares PyT...mxnet.apache.org/versions/master/api/python/docs/tutorials/getting-started/to-mxnet/index.htmlThu Jan 05 05:04:49 GMT 2023 144.1K bytes -
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.htmlThu Jan 05 05:04:49 GMT 2023 145.1K bytes -
Using AMP: Automatic Mixed Precision — Apache M...
Using AMP: Automatic Mixed Precision Training Deep Learning networks is a very computationally intensive task. Novel ...mxnet.apache.org/versions/master/api/python/docs/tutorials/performance/backend/amp.htmlThu Jan 05 05:04:49 GMT 2023 192.2K bytes -
Activation Blocks — Apache MXNet documentation
Activation Blocks Deep neural networks are a way to express a nonlinear function with lots of parameters from input d...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/blocks/activations/acti...Thu Jan 05 05:04:49 GMT 2023 185.6K bytes -
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.htmlThu Jan 05 05:04:49 GMT 2023 173.7K bytes -
mxnet.np.floor — Apache MXNet documentation
mxnet.np.floor floor ( x , out=None , **kwargs ) Return the floor of the input, element-wise. The ceil of the ndarray...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.floor.htmlThu Jan 05 05:04:49 GMT 2023 136.3K bytes -
mxnet.np.linalg.eig — Apache MXNet documentation
mxnet.np.linalg.eig eig ( a ) Compute the eigenvalues and right eigenvectors of a square array. Parameters a ( ( .. ,...mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.linalg.eig.htmlThu Jan 05 05:04:49 GMT 2023 139.1K bytes