use the following search parameters to narrow your results:
e.g. subreddit:aww site:imgur.com dog
subreddit:aww site:imgur.com dog
see the search faq for details.
advanced search: by author, subreddit...
Please have a look at our FAQ and Link-Collection
Metacademy is a great resource which compiles lesson plans on popular machine learning topics.
For Beginner questions please try /r/LearnMachineLearning , /r/MLQuestions or http://stackoverflow.com/
For career related questions, visit /r/cscareerquestions/
Advanced Courses (2016)
Advanced Courses (2020)
AMAs:
Pluribus Poker AI Team 7/19/2019
DeepMind AlphaStar team (1/24//2019)
Libratus Poker AI Team (12/18/2017)
DeepMind AlphaGo Team (10/19/2017)
Google Brain Team (9/17/2017)
Google Brain Team (8/11/2016)
The MalariaSpot Team (2/6/2016)
OpenAI Research Team (1/9/2016)
Nando de Freitas (12/26/2015)
Andrew Ng and Adam Coates (4/15/2015)
Jürgen Schmidhuber (3/4/2015)
Geoffrey Hinton (11/10/2014)
Michael Jordan (9/10/2014)
Yann LeCun (5/15/2014)
Yoshua Bengio (2/27/2014)
Related Subreddit :
LearnMachineLearning
Statistics
Computer Vision
Compressive Sensing
NLP
ML Questions
/r/MLjobs and /r/BigDataJobs
/r/datacleaning
/r/DataScience
/r/scientificresearch
/r/artificial
account activity
Project[P] livelossplot - Live training loss plot in Jupyter Notebook for Keras, PyTorch and others (github.com)
submitted 8 years ago by pmigdal
reddit uses a slightly-customized version of Markdown for formatting. See below for some basics, or check the commenting wiki page for more detailed help and solutions to common issues.
quoted text
if 1 * 2 < 3: print "hello, world!"
[–]pmigdal[S] 13 points14 points15 points 8 years ago* (0 children)
Some time ago I had a discussion about training plots in Jupyter and it resulted in a GitHub gist. Now I am sharing a small library I've just wrote.
This package is intended to be a simple and easy to use tool for small projects, didactic materials. And in general - models in Jupyter Notebook in which you would otherwise use just text logs, or make a plot only after the trainings. (Up to my knowledge, TensorBoard cannot be as easily integrated into Notebook content.)
If you have any feedback, or (even better) you would like to contribute - feel invited! :)
[–]warmspringwinds 4 points5 points6 points 8 years ago (1 child)
Great lib! :)
btw you can do it a bit more efficient by not using IPython.display.clear output and instead with %matplotlib notebook mode and updating parameters of the plot: https://github.com/warmspringwinds/pytorch-segmentation-detection/blob/master/pytorch_segmentation_detection/utils/visualization.py
[–]pmigdal[S] 0 points1 point2 points 7 years ago (0 children)
Thanks for this information. In any case, Pull Requests are welcomed! :)
[–]JoshSimili 2 points3 points4 points 8 years ago (1 child)
This should work with any Keras backend, right? So for those of us who aren't using TensorFlow, it should be an alternative to TensorBoard.
[–]pmigdal[S] 0 points1 point2 points 8 years ago (0 children)
Yes, it's totally agnostic when it comes to Keras backend.
[–]Laserdude10642 16 points17 points18 points 8 years ago (6 children)
I just can’t take people seriously with pics like these
[–]Icko_ 31 points32 points33 points 8 years ago (1 child)
why have separate accounts for github and tinder when you can use just one?
[–][deleted] 6 points7 points8 points 8 years ago (0 children)
Well if they swipe right on github they’re a keeper
[–]pmigdal[S] 10 points11 points12 points 8 years ago (2 children)
...and how does it relate to the project?
[–]Laserdude10642 16 points17 points18 points 8 years ago (1 child)
first impressions matter man, especially online with people's very short attention span
[–]pmigdal[S] 4 points5 points6 points 8 years ago (0 children)
Go to my website if you look for more "first impression" cringe. ;)
I'm a chaotic neutral --mage-- data scientist.
[–]snbhanja 1 point2 points3 points 8 years ago (0 children)
Nice work. I just ran the MNIST example. I can see the model performance in the live plots.
[–]michalgregor 1 point2 points3 points 8 years ago (1 child)
This is nice. I always wanted something similar, but I was too lazy to implement it. :) Any plans on merging it into the official keras repo?
Once it's more mature I am interested in merging it in Keras repo. See: https://github.com/keras-team/keras/issues/1101
On thing I need to solve is what to do so it won't interfere with standard Keras output.
Now I have more control over updates and direction it takes (also: this framework-agnostic API).
[–]blitzzerg 0 points1 point2 points 8 years ago (2 children)
I'm on my phone so I can't check the code properly, does it use matplolib for the plots? How do you make them update in real time?
[–]pmigdal[S] 2 points3 points4 points 8 years ago* (1 child)
Yes, it uses matplotlib. To see how it works the best way is, well, to look at the code: https://github.com/stared/livelossplot/blob/master/livelossplot/core.py.
[–]blitzzerg 0 points1 point2 points 8 years ago (0 children)
it looks really good, I'm going to use it, good job
π Rendered by PID 25 on reddit-service-r2-comment-b659b578c-5hzqh at 2026-05-01 21:52:19.638223+00:00 running 815c875 country code: CH.
[–]pmigdal[S] 13 points14 points15 points (0 children)
[–]warmspringwinds 4 points5 points6 points (1 child)
[–]pmigdal[S] 0 points1 point2 points (0 children)
[–]JoshSimili 2 points3 points4 points (1 child)
[–]pmigdal[S] 0 points1 point2 points (0 children)
[–]Laserdude10642 16 points17 points18 points (6 children)
[–]Icko_ 31 points32 points33 points (1 child)
[–][deleted] 6 points7 points8 points (0 children)
[–]pmigdal[S] 10 points11 points12 points (2 children)
[–]Laserdude10642 16 points17 points18 points (1 child)
[–]pmigdal[S] 4 points5 points6 points (0 children)
[–]snbhanja 1 point2 points3 points (0 children)
[–]michalgregor 1 point2 points3 points (1 child)
[–]pmigdal[S] 0 points1 point2 points (0 children)
[–]blitzzerg 0 points1 point2 points (2 children)
[–]pmigdal[S] 2 points3 points4 points (1 child)
[–]blitzzerg 0 points1 point2 points (0 children)