Fabien Tarrade   

@fabtar

Sr. Data Scientist & Applied ML Scientist | ex 👨‍🔬 | | 🗣️ mine | he/him | 🧠 Working on Machine Learning & NLP at scale 👨‍💻 Python/Cloud native

Vrijeme pridruživanja: studeni 2009.

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  1. Nice blog post on "TensorFlow 2.0 Tutorial : Optimizing Training Time Performance"

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  2. 2. velj
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  3. 1. velj

    If you're looking for a great tutorial about TensorFlow Extended and Beam, this series of notebooks by are really excellent. Even includes an example with a TFX custom component using Neural Structured Learning.

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  4. Great show Karthik , do you have the slides and the notebooks available somewhere ? Thanks

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  5. Very intersting talk and demo by on "Train, and deploy models in Cloud and on-prem from notebooks" on Kubeflow (Google Cloud AI Huddle)

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  6. Neural Structured Learning - Part 2: Training with natural graphs by Arjun Gopalan

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  7. 31. sij

    Transformers 2.4.0 is out 🤗 - Training transformers from scratch is now supported - New models, including *FlauBERT*, Dutch BERT, *UmBERTo* - Revamped documentation - First multi-modal model, MMBT from , text & images Bye bye Python 2 🙃

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  8. The Next Generation of Machine Learning Tools

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  9. One of the best sticker at AMLD which was on the stand from Swisscom, if I remember well, « data beats opinion ». So true.

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  10. 29. sij

    Pretty impressive! Google AI just released Meena, a 2.6bn parameter neural-network chatbot that is able to conduct human-like conversations. Very interesting results and paper. Check it out! 📝 Paper:

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  11. Last day of AMLD at EPFL.

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  12. 28. sij

    Super interesting article about the "Dark Secrets of BERT". They did an analysis on what happens in the fine-tuned BERT, in particular on the GLUE tasks. Check it out! I enjoyed reading it! 📝 Article:

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  13. AI Weekly Update - January 27th, 2020 by (#14)

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  14. 27. sij

    Now, is introducing the next speaker with the two first lines of his book. is now talking about "Surveillance in the Age of AI" !

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  15. 27. sij

    More on in 's keynote on "The New Reality for AI" explaining how interactive large-scale synthetic data generation accelerates the AI revolution given that manually labelled training data had become costly.

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  16. 27. sij

    Christopher Bishop talks about the three key elements of ML : Big Data, prior knowledge and massive computer power

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  17. 27. sij

    Keynote on "addressing the failure of enterprise machine intelligence with 4 AIs we should discuss more“ by Jeffrey Bohn : 85% of projects fail as estimated by Gartner.

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  18. Great talk « Addressing the failure of enterprise machine intelligence (MI) with 4 AIs we should discuss more » by Jeffrey Bohn from SwissRe

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  19. We strive to make a positive impact, that’s why we’ve partnered with - here’s a little video on how they work

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  20. Keynote session is going to start 🚀

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