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Results 171 - 180 of 549 for host:mxnet.apache.org (0.03 sec)

  1. mxnet.gluon.rnn.conv_rnn_cell — Apache MXNet do...

    Source code for mxnet.gluon.rnn.conv_rnn_cell # Licensed to the Apache Software Foundation (ASF) under one # or more ...
    mxnet.apache.org/versions/master/api/python/docs/_modules/mxnet/gluon/rnn/conv_rnn_cell.html
    Registered: Fri Nov 15 08:45:27 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  2. mxnet.gluon.model_zoo.vision.alexnet — Apache M...

    Source code for mxnet.gluon.model_zoo.vision.alexnet # Licensed to the Apache Software Foundation (ASF) under one # o...
    mxnet.apache.org/versions/master/api/python/docs/_modules/mxnet/gluon/model_zoo/vision/alexnet.html
    Registered: Fri Nov 15 08:44:58 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  3. 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...
    Registered: Fri Nov 15 07:41:49 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
    - 185.6K bytes
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  4. 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.html
    Registered: Fri Nov 15 07:41:59 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
    - 144.1K bytes
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  5. 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 Nov 15 07:42:56 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  6. 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.html
    Registered: Fri Nov 15 07:42:21 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  7. Indexing — Apache MXNet documentation

    Indexing ndarrays can be indexed using the standard Python x[obj] syntax, where x is the array and obj the selection....
    mxnet.apache.org/versions/master/api/python/docs/api/np/arrays.indexing.html
    Registered: Fri Nov 15 07:49:57 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  8. Performance — Apache MXNet documentation

    Performance The following tutorials will help you learn how to tune MXNet or use tools that will improve training and...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/performance/index.html
    Registered: Fri Nov 15 07:49:36 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  9. mxnet.np.ones_like — Apache MXNet documentation

    mxnet.np.ones_like ones_like ( a , dtype=None , order='C' , device=None , out=None ) Return an array of ones with the...
    mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.ones_like.html
    Registered: Fri Nov 15 07:50:37 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  10. MXNet on the Cloud — Apache MXNet documentation

    MXNet on the Cloud Deep learning can require extremely powerful hardware, often for unpredictable durations of time. ...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/deploy/run-on-aws/cloud.html
    Registered: Fri Nov 15 07:50:50 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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