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  1. Prikvačeni tweet
    13. tra 2018.

    New to MXNet? Get started with the Gluon 60-minutes crash course!

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  2. 13. pro 2019.

    AutoGluon, a new open source toolkit from based on , enables users to achieve state-of-the-art deep learning solutions with 3 lines Python of code. See post for more details:

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  3. 13. pro 2019.

    This means you can now build and run your graph neural networks with and easily and efficiently on the AWS cloud. .

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  4. 13. pro 2019.

    Check out the Deep Java Library from the folks which allows you to not only serve inference with deep learning models in Java, but also TRAIN deep learning models in Java. See for more.

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  5. proslijedio/la je Tweet

    2/We show that augmenting recursive networks with external memory like stack significantly improves extrapolation to harder examples. Zhichu Lu

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  6. proslijedio/la je Tweet

    1/ is only good at interpolation. But applications need extrapolation that can reason about more complex scenarios than it is trained on. With current methods, accuracy degrades rapidly when complexity of test instances grows. Our new work aims to overcome this

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  7. 12. stu 2019.

    With the numpy interface from MXNet, you can easily add automatic differentiation to existing numpy code, and run numpy operations faster with GPU acceleration. Check out the latest blog post for more details!

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  8. 4. stu 2019.

    Call for proposals! Submit your MXNet projects to the AWS Machine Learning Research Awards. Up to $100,000 in AWS credits for individual projects.

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  9. 17. lis 2019.

    With MXNet-AMP it's simple to add mixed precision training. Check out the latest blog post to learn how to maximize the performance of NVIDIA Volta Tensor Cores.

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  10. 30. ruj 2019.

    Why limit yourself to images? Get started with Action Recognition in Video with the latest version of GluonCV. You'll find models that have been pre-trained on the UCF101 and Kinetics400 datasets.

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  11. 23. kol 2019.
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  12. 23. kol 2019.
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  13. 23. kol 2019.
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  14. 23. kol 2019.
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  15. proslijedio/la je Tweet
    13. kol 2019.

    .'s Brain Builder leverages and frameworks from NGC container registry. Learn more:

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  16. 23. kol 2019.
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  17. 9. kol 2019.

    Get a x12 speedup for BERT inference with MXNet v1.5! All the details in the latest blog post.

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  18. proslijedio/la je Tweet
    4. kol 2019.
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  19. proslijedio/la je Tweet

    The best and libraries — , Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras: by ——————

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  20. 6. kol 2019.
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  21. 29. srp 2019.

    Apache MXNet 1.5.0 released! Automatic mixed precision, dynamic shape support and much more:

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