Rheza Harliman

@rheza_h

Books, Tech, Android Dev, Machine Learning (image) | Engineer on weekdays ↔️ Goalkeeper on weekends | Introvert | -Balancing the Imbalanced- 🇮🇩🇯🇵

Japan
Vrijeme pridruživanja: lipanj 2010.

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  1. proslijedio/la je Tweet
    31. sij

    Check out our Machine Learning and Deep Learning EN-JP dictionary. Feel free to send a PR or raise an issue to help make this repo more useful for English-Japanese speakers!  

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  2. proslijedio/la je Tweet
    30. sij

    Feynman Lessons for Learning: 🧠 1) Understanding is more important than memorization! 2) Learn principles, not formulas. 3) Ask questions! 4) Read Books every day. 5) Teaching is a powerful tool to learning.

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  3. proslijedio/la je Tweet
    30. sij

    We're standardizing OpenAI's deep learning framework on PyTorch to increase our research productivity at scale on GPUs (and have just released a PyTorch version of Spinning Up in Deep RL):

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  4. proslijedio/la je Tweet
    31. sij

    Passionate about AI and community building? 🤖 We are looking for an Event-/Community Manager to join the team! 🙌 Starting with 10h/week. Students based in Tokyo are welcome to apply!

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  5. proslijedio/la je Tweet
    29. sij

    data people! I've created a curated list of open data/API/ML projects relating to . Make a pull request or raise an issue if you'd like to contribute. And of course, use it and explore it to your heart content!

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  6. proslijedio/la je Tweet
    28. sij

    We held a fantastic meetup on "Recommendation Systems in Production" with Senior Engineer (Data Science) . His slides are available now!

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  7. proslijedio/la je Tweet
    22. sij

    My blogpost on how & why we use convolutional neural networks as a model of the visual system is probably the most read thing I've ever written and it's now been expanded & updated into a proper review article, complete with 136 references & 5 new figures!

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  8. proslijedio/la je Tweet
    24. sij

    We're releasing mBART, a new seq2seq multilingual pretraining system for machine translation across 25 languages. It gives significant improvements for document-level translation and low-resource languages. Read our paper to learn more:

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  9. proslijedio/la je Tweet
    22. sij

    FixMatch: focusing on simplicity for semi-supervised learning and improving state of the art (CIFAR 94.9% with 250 labels, 88.6% with 40). Collaboration with Kihyuk Sohn, Nicholas Carlini

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  10. proslijedio/la je Tweet
    21. sij

    I wrote a blog post about the machine reading comprehension demo I recently shared. Tutorial notebook at the end if you want to train your own!

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  11. proslijedio/la je Tweet
    22. sij

    BayesNet: A library for drawing Bayesian networks, graphical models and directed factor graphs in LaTeX.

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  12. proslijedio/la je Tweet
    22. sij

    More ML. More projects. More remote opportunities. Join the community.

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  13. proslijedio/la je Tweet
    20. sij

    How to get into machine learning without a degree, alternatives to traditional education, building a portfolio, applying for ML jobs, interviews, getting into research, and indie research ideas. I had an ace chat with at . Enjoy!

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  14. proslijedio/la je Tweet
    19. sij

    Here's a lecture by Andrew Trask () on privacy-preserving AI as part of the MIT Deep Learning lecture series. Preserving privacy boosts our ability to do science at a large-scale and to engineer intelligent systems that learn from data:

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  15. proslijedio/la je Tweet

    TensorFlow Lite を使って、iOS 端末で人の動きをトラックしましょう!💃 📹 さんが開発したアプリは TensorFlow Lite がリアルタイムでカメラの入力を受け取り、身体の主要部位にオーバーレイをします。 こちらでお試しください→

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  16. proslijedio/la je Tweet
    14. sij

    Here's my conversation with Daniel Kahneman, Nobel Prize winning economist and psychologist, author of Thinking Fast and Slow. We talk about two systems of thought in the human mind and their connection to deep learning, AI, and autonomous vehicles.

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  17. proslijedio/la je Tweet
    14. sij

    The source code for meta seq2seq learning is now available through . You can reproduce the experiments from my paper, or run memory-based meta learning on other seq2seq problems.

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  18. proslijedio/la je Tweet
    12. sij

    The Case for Bayesian Deep Learning ”Bayesian or not, the prior will certainly be imperfect. Avoiding an important part of the modelling process because one has to make assumptions, however, will often be a worse alternative than an imperfect assumption.”

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  19. proslijedio/la je Tweet
    9. sij

    In a retrospective blog post, Senior Fellow and SVP of Google Research and Health highlights just a few of the research advances Google made in 2019, and outlines some challenges as we start 2020. We look forward to sharing our research with you!

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  20. proslijedio/la je Tweet
    8. sij

    Everyone is welcome to join Asir Saeed's tutorial at Tokyo Data Science on image superresolution and other topics using fastai/PyTorch on Sat, Jan 11, 2pm-4pm Japan time at Shimbashi, Tokyo or remotely over Zoom. DM or email me (fabinger@gmail.com) for details.

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