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Results 7651 - 7660 of about 10,000 for content_length:[100000 TO 499999] (0.1 sec)

  1. API Changes for 3.2.0 — Matplotlib 3.10.3 docum...

    Skip to main content Back to top Ctrl + K Plot types User guide Tutorials Examples Reference Contribute Releases Gitt...
    matplotlib.org/stable/api/prev_api_changes/api_changes_3.2.0.html
    Registered: Wed Jun 04 07:23:34 UTC 2025
    - Last Modified: Fri May 09 18:02:10 UTC 2025
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  2. Dependências avançadas - FastAPI

    FastAPI framework, high performance, easy to learn, fast to code, ready for production
    fastapi.tiangolo.com/pt/advanced/advanced-dependencies/
    Registered: Wed Jun 04 07:21:40 UTC 2025
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  3. About - FastAPI

    FastAPI framework, high performance, easy to learn, fast to code, ready for production
    fastapi.tiangolo.com/vi/about/
    Registered: Wed Jun 04 07:24:19 UTC 2025
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  4. kubectl apply edit-last-applied | Kubernetes

    Synopsis Edit the latest last-applied-configuration annotations of resources from the default editor. The edit-last-applied command allows you to directly edit any API resource you can retrieve via the command-line tools. It will open the editor defined by your KUBE_EDITOR, or EDITOR environment variables, or fall back to 'vi' for Linux or 'notepad' for Windows. You can edit multiple objects, although changes are applied one at a time. The command accepts file names as well as command-line arguments, although the files you point to must be previously saved versions of resources.
    kubernetes.io/docs/reference/kubectl/generated/kubectl_apply/kubectl_apply_edit-last-applied/
    Registered: Wed Jun 04 07:23:54 UTC 2025
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  5. Image similarity search with InfoGAN — Apache M...

    Image similarity search with InfoGAN This notebook shows how to implement an InfoGAN based on Gluon. InfoGAN is an ex...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/image/info_gan.html
    Registered: Wed Jun 04 07:42:49 UTC 2025
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  6. Custom Loss Blocks — Apache MXNet documentation

    Custom Loss Blocks All neural networks need a loss function for training. A loss function is a quantitive measure of ...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/loss/custom-loss.html
    Registered: Wed Jun 04 07:42:53 UTC 2025
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  7. Learning Rate Schedules — Apache MXNet document...

    Learning Rate Schedules Setting the learning rate for stochastic gradient descent (SGD) is crucially important when t...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/training/learning_rates...
    Registered: Wed Jun 04 07:43:00 UTC 2025
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  8. Submitting case studies | Kubernetes

    Case studies highlight how organizations are using Kubernetes to solve real-world problems. The Kubernetes marketing team and members of the CNCF collaborate with you on all case studies. Case studies require extensive review before they're approved. Submit a case study Have a look at the source for the existing case studies. Refer to the case study guidelines and submit your request as outlined in the guidelines.
    kubernetes.io/docs/contribute/new-content/case-studies/
    Registered: Wed Jun 04 07:41:31 UTC 2025
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  9. Step 1: Manipulate data with NP on MXNet — Apac...

    Step 1: Manipulate data with NP on MXNet This getting started exercise introduces the MXNet np package for ndarrays. ...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/getting-started/crash-course/1-nparray...
    Registered: Wed Jun 04 07:41:59 UTC 2025
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  10. Advanced Learning Rate Schedules — Apache MXNet...

    Advanced Learning Rate Schedules Given the importance of learning rate and the learning rate schedule for training ne...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/training/learning_rates...
    Registered: Wed Jun 04 07:43:21 UTC 2025
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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