Sebastian Raschka

@rasbt

Working on machine learning stuff. Author of 'Python Machine Learning' & open source contributor. Currently doing research in deep learning & biometrics

Madison, Wisconsin
যোগদান করেছেন অক্টোবর ২০১২

মিডিয়া

  1. ১৮ ঘন্টা আগে
    -কে উত্তর দিচ্ছেন

    Excellent talk indeed! After I watched it, pointed out there's also a longer version (/director's cut?!) from PyData Ann Arbor on YouTube:

  2. ১৬ জুলাই

    Comparing some more biologically inspired learning algos to backprop by Bartunov et al: .TP and FA look ok-ish on MNIST and CIFAR for a first try but we probably also need different architectures to go with these (or any non-BP algo) to beat BP performance

    এই থ্রেডটি দেখান
  3. ১৫ জুলাই

    Heard great things about UMAP (Uniform Manifold Approx. & Projection for Dim. Reduction) vs e.g., T-SNE, but haven't had a chance to read up on it, yet. Conveniently, I just see that there's a recording from a UMAP talk at SciPy 2018 on YouTube: . Perfect.

  4. ২৩ জুন

    Also has a good set of references on when/how the term was coined:

    এই থ্রেডটি দেখান
  5. ১৪ জুন

    Yay, finally LaTeX equation support for Apple Keynote 🥳

  6. ১২ মে
    -কে উত্তর দিচ্ছেন

    Apologies if your tool does not do what Safari shows me what it could do. The naming was basically part of to identify which extension I was talking about as it's displayed in the title.

  7. ১১ মে
    উত্তর দিচ্ছেনReplying to এবং অন্য

    If you have nbextensions installed, there's an extension for that included:

  8. ২৯ এপ্রিল
    -কে উত্তর দিচ্ছেন

    yeah good point. I use an open port most of the time anyway (I add a password lock to my notebooks though) since I have a dynamic IP when I use my laptop. But I actually do like the comment feature of the collab-style notebooks

  9. ২৭ এপ্রিল

    "Comparing Google’s TPUv2 against Nvidia’s V100 on ResNet-50" Interesting benchmark. Not much of a difference actually for the larger batch sizes (the missing y-axis label is the number of images)

    এই থ্রেডটি দেখান
  10. ২৪ এপ্রিল
  11. ২৩ এপ্রিল

    Just put out a new version of mlxtend today for the Journal of Open Source Software (was accepted today, yay). Not too many changes this time, but the colorblind-friendly decision region plots are now finally in the release version :)

  12. ১৬ এপ্রিল
    -কে উত্তর দিচ্ছেন

    besides the email, no idea. I actually didn't even bother reading that and thought that deleting it is way easier (and "better safe then sorry") option -- never logged in into google analytics anyway. Below is a screenshot of the contents if you haven't got that mail

  13. ৭ এপ্রিল

    Just got home and found an unexpected package from my colleague my doorstep ... Thanks a lot!!! Having never seen one in real life, I am amazed how small these things are. I guess it's playtime now ;)

  14. ১ এপ্রিল

    Caffe64 -- a no-dependency replacement of Caffe deep learning framework written in assembly. Looks like a cool project :)

  15. ২০ মার্চ

    "Fundamentals of Data Visualization" a great free online-ebook by that's worth checking out!

  16. ১৮ মার্চ
    -কে উত্তর দিচ্ছেন

    Thanks I thought you may also be interested in this little write-up on entropy as a criterion (analogous to gini):

  17. ১৮ মার্চ

    skope-rules -- a neat scikit-learn contrib project that lets you extract logical, interpretable rules for "scoping" a target class (reminds me a bit of Learning Classifier Systems )

  18. ১৮ মার্চ
    -কে উত্তর দিচ্ছেন

    Thx! yeah, I was thinking about "sequential" color maps, but the problem really is to go >3 classes. Actually, turned out the matplotlib v2.0 defaults were quite good regarding the different color blindness tests via Coblis. What I ended up with is the following:

  19. ১৬ মার্চ

    "Deep Learning Framework Examples" -- A nice collection of Jupyter Notebooks implementing benchmarks for different deep learning libraries

    এই থ্রেডটি দেখান
  20. ১৬ মার্চ
    -কে উত্তর দিচ্ছেন

    :). I think it looks nice now!

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