Machine Learning Tokyo

@__MLT__

Award-winning nonprofit dedicated to democratizing Machine Learning. Open Source, Science & Education. Tweets by & 🤖🧠

Tokyo-to, Japan
Vrijeme pridruživanja: kolovoz 2018.

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  1. Prikvačeni tweet
    27. ruj 2019.

    Some impressions of our MLT NPO Launch event at Mistletoe of Tokyo! Thank you for capturing these special moments! ✨ Find more pics here

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  2. proslijedio/la je Tweet
    prije 12 sati

    yep. most of the people dont care about what degree you have as long as you understand stuff and can implement it.

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  3. proslijedio/la je Tweet
    prije 23 sata

    Wow: Google's "Meena" chatbot was trained on a full TPUv3 pod (2048 TPU cores) for **30 full days** - That's more than $1,400,000 of compute time to train this chatbot model. (! 100+ petaflops of sustained compute !)

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  4. proslijedio/la je Tweet
    prije 13 sati

    Diagrams of neural networks back when people still called them “artificial neural networks” looked more like biological neural networks.

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  6. : Happy multi-cultural palindrome day! Works whether your preferred date format is MM/DD/YYYY or DD/MM/YYYY or YYYY/MM/DD.

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  7. 1. velj

    New hardware to play with. 🤖 Kicking off our monthly Edge AI sessions sooon!

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  8. proslijedio/la je Tweet
    31. sij

    Before I left I built a short course on NLP. It was just released! If you've been wanting to get started working with language data, check it out:

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  9. proslijedio/la je Tweet
    31. sij

    Why Random Forests can’t predict trends and how to overcome this problem. by

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  10. proslijedio/la je Tweet
    31. sij

    Today we announce a novel, open-source method for text generation tasks (e.g., summarization or sentence fusion), which uses edit operations instead of generating text from scratch, leading to less errors and faster model execution. Read about it below.

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  11. proslijedio/la je Tweet
    31. sij

    We are releasing HiPlot, a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data.

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  12. proslijedio/la je Tweet
    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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  13. 31. sij

    : Great chatting with . We talked about everything from the early mistakes I made building MOOCs to the challenges of deploying AI systems. Stay tuned for the podcast episode!

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  14. proslijedio/la je Tweet
    30. sij

    OMG, I can't believe it! 😭💖🔥🚀 I won a prize at TF 2.0 Challenge!! 🙌 Thanks to the team for developing such an incredible technology. Kudos to , I'm big fan. 🙏🏼 See you in the TensorFlow Dev event!

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  15. proslijedio/la je Tweet
    31. sij

    Designing meaningful experiences with new technologies is in the hands of very few people. This site 👇offers access to AI-knowledge in a great way, done by experts with a lot of empathy for non-experts. Thanks for sharing

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  16. 31. sij

    Label studio allows you to label not just image but also text and audio data! One-stop-label-maker 👀

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  17. proslijedio/la je Tweet
    31. sij

    Join us at to celebrate International Women’s Day among inspiring women in Tokyo's growing tech community🗼👩🏻‍💻 Our director will be on the panel! ✨ Applications are open until Feb 7th on the link below

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  18. 31. sij

    MLT's will be on the panel! :D

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  19. 31. sij
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  20. proslijedio/la je Tweet
    31. sij

    An Opinionated Guide to ML Research: “To make breakthroughs with idea-driven research, you need to develop an exceptionally deep understanding of your subject, and a perspective that diverges from the rest of the community—some can do it, but it’s hard.”

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  21. proslijedio/la je Tweet
    30. sij

    Research in 3D computer vision and has been on the rise. Join NVIDIA on Feb. 12th to curate deep learning using Kaolin PyTorch library. Accelerate and move 3D models into the realm of neural networks in this webinar.

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