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Results 1 - 10 of 551 for label:vespa (0.09 sec)

  1. A tensor formalism for computer science

    A tensor formalism for computer science Jon Bratseth bratseth@verizonmedia.com Verizon Media Trondheim, Norway Håvard Pettersen havard.pettersen@verizonmedia.com Verizon Media Trondheim, Norway Les...
    docs.vespa.ai/en/a_tensor_formalism_for_computer_science.pdf
    Registered: Fri Dec 27 04:31:00 UTC 2024
    - Last Modified: Sat Dec 21 01:19:17 UTC 2024
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  2. Attribute-memory-Vespa.xls

    Sheet1 Attribute memory usage example Number of documents 200000000 Resize overhead factor 1.2 Constants (don’t edit): Enum index width 4 Enum value width 4 Posting entry width (singlevalue) 4 Post...
    docs.vespa.ai/en/files/Attribute-memory-Vespa.xls
    Registered: Fri Dec 27 04:31:56 UTC 2024
    - Last Modified: Sat Dec 21 01:19:17 UTC 2024
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  3. 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.html
    Registered: Fri Dec 27 07:50:31 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  4. Learning Rates — Apache MXNet documentation

    Learning Rates Learning Rate Finder Learning Rate Schedules Advanced Learning Rate Schedules Did this page help you? ...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/training/learning_rates...
    Registered: Fri Dec 27 07:50:54 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  5. Deploy with int-8 — Apache MXNet documentation

    Deploy with int-8 Contributions welcome! Did this page help you? Yes No Thanks for your feedback! Previous Compressio...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/performance/compression/int8.html
    Registered: Fri Dec 27 07:51:14 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  6. Accelerated Backend Tools — Apache MXNet docume...

    Accelerated Backend Tools The following tutorials will help you learn how to use backend tools to boost performance. ...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/performance/backend/index.html
    Registered: Fri Dec 27 07:51:20 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  7. 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.html
    Registered: Fri Dec 27 07:51:29 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  8. 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.html
    Registered: Fri Dec 27 08:02:48 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  9. Google Neural Machine Translation — Apache MXNe...

    Google Neural Machine Translation In this notebook, we are going to train Google NMT on IWSLT 2015 English-Vietnamese...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/text/gnmt.html
    Registered: Fri Dec 27 07:51:34 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  10. Machine Translation with Transformer — Apache M...

    Machine Translation with Transformer In this notebook, we will show how to train Transformer introduced in [1] and ev...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/text/transformer.html
    Registered: Fri Dec 27 07:51:52 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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