Erwin Huizenga

@ErwinHuizenga

Googler | Data Scientist | Machine Learning | Python | TensorFlow | The opinions stated here are my own, not those of my company.

Amsterdam
Inscrit en novembre 2009

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  1. 14 juin 2018
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  2. a retweeté
    11 juin 2018

    TensorFlow Serving has released version 1.8.0 & now supports a RESTful API out of the box! You can now easily make classification, regression & prediction requests to your TensorFlow models using JSON objects. Learn more here ↓

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  3. a retweeté
    9 juin 2018

    Google principles: 1. Benefit society 2. Avoid creating/reinforcing unfair 3. Be built for 4. Accountable to people 5. Incorporate by design 6. Be scientifically excellent 7. Not for uses when likely to cause overall harm

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  4. a retweeté
    8 juin 2018

    TensorFlow 1.9.0-rc0 has been released! Please see the full release notes for details on added features and changes. Learn more ↓

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  5. a retweeté
    7 juin 2018

    Today we’re sharing our AI principles and practices. How AI is developed and used will have a significant impact on society for many years to come. We feel a deep responsibility to get this right.

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  6. 6 juin 2018
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  7. a retweeté
    5 juin 2018

    Udacity and Google launch free career courses for interview prep, resume writing and more

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  8. a retweeté
    5 juin 2018

    Have you wanted to start learning Python for data and analytics but never taken the leap? Sign up for Kaggle’s “Learn Python” track, where you’ll learn to apply Python to a fun 20-minute puzzle every day from June 11-17

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  9. a retweeté
    4 juin 2018

    "If Google can handle Twitter's workloads, it can also manage yours."

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  10. a retweeté
    31 mai 2018

    TensorBoard is a suite of visualization tools that make it easier to understand, debug & optimize . speaks with , the dev lead for TensorBoard, about how the debugger plugin helps improve your ML models. Watch here →

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  11. 29 mai 2018

    Ready for tomorrows presentations on building ML pipelines and AutoML

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  12. a retweeté
    23 mai 2018

    I know it's become a bit of a trope, but having been in Cloud for over five years I've seen a complete transition from "we can't use Cloud because it's not secure enough" to "we come to Cloud (GCP, specifically) because we need the security."

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  13. a retweeté
    21 mai 2018

    Check out this tutorial for Fashion MNIST using tf.keras. defines and trains a model in just a few lines of code. Read the post here ↓

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  14. a retweeté
    16 mai 2018

    Nice write-up by Yonghui Wu of the Google Brain team about how the new Smart Compose feature in Gmail works behind-the-scenes.

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  15. a retweeté
    7 mai 2018

    Check out the Quick Draw dataset! With over 1 BILLION hand-drawn doodles, there's so many possibilities!

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  16. 4 mai 2018

    Ook aan boord van de KL1964 van Zürich naar Amsterdam twee minuten stilte op 7km hoogte.

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  17. a retweeté
    2 mai 2018

    If you're coming to don't miss the "TensorFlow in production" session about Extended (TFX) on Wednesday May 9th. It will cover several components integrated with TFX including tf.hub and tf.serving.

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  18. a retweeté
    2 mai 2018

    We are happy to support , an effort that aims to build a common set of benchmarks to measure system performance for both training and inference from mobile devices to cloud services.

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  19. 3 mai 2018

    Wederom is het onmogelijk een vlucht om te boeken bij Wordt tijd voor een nieuwe website...

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  20. a retweeté
    26 avr. 2018

    Swift for TensorFlow is now open source! It is a new programming model for machine learning combining the performance of graphs and the expressivity of Eager execution, with first-class autodiff built right into the compiler Learn more on the TF blog ↓

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