برای اینکه بعدا بتونم به خودم یادآوری کنم:
این پیامها و «هنوز»مطالعهکردنها در حالیه که نزدیک سه چهار ساعته که به شدت گریه کردم و باز بغض دارم. So keep going
این پیامها و «هنوز»مطالعهکردنها در حالیه که نزدیک سه چهار ساعته که به شدت گریه کردم و باز بغض دارم. So keep going
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Awesome Diffusion Models
A fantastic and well-organized collection of learning resources on diffusion models such as introductory papers, survey papers, intro videos, long lectures, and blog posts. Papers in vision, natural language, tabular, graph, etc.
https://twitter.com/Jeande_d/status/1578482659105218560?t=SHrOg23xJxvraHToF2zxQw&s=19
A fantastic and well-organized collection of learning resources on diffusion models such as introductory papers, survey papers, intro videos, long lectures, and blog posts. Papers in vision, natural language, tabular, graph, etc.
https://twitter.com/Jeande_d/status/1578482659105218560?t=SHrOg23xJxvraHToF2zxQw&s=19
SUT Twitter
چقدر خوب خونده رعنا منصور آهنگ شروین رو: #مهسا_امینی #MahsaAmini #Woman_Life_Freedom ◍Ped◍ @sut_tw
Audio
خیلی حال کردم باهاش
Baraye
Rana Mansour
Baraye
Rana Mansour
My Iran (Feat. Erfan, Gdaal, Rana Mansour, Hamed Nikpay)
King Raam
├🎤 By: King Raam
├🎵 Song: My Iran (Feat. Erfan, Gdaal, Rana Mansour, Hamed Nikpay)
├🎺 Genre: Rock
Nice job 👍
├🎵 Song: My Iran (Feat. Erfan, Gdaal, Rana Mansour, Hamed Nikpay)
├🎺 Genre: Rock
Nice job 👍
AtHomeWithAI - Curated Resource List, DeepMind
A list of educational resources curated by people at DeepMind for anyone interested in learning AI, machine learning, and other related topics.
https://twitter.com/Jeande_d/status/1580641346452262913?t=yT6XOCyqOcoS4RHIO3Q4YA&s=19
A list of educational resources curated by people at DeepMind for anyone interested in learning AI, machine learning, and other related topics.
https://twitter.com/Jeande_d/status/1580641346452262913?t=yT6XOCyqOcoS4RHIO3Q4YA&s=19
این مقاله که سه چهار روز پیش منتشر شده، اثبات و بازنماییای از شبکههای عصبی داره و ادعا کرده که اونها رو از یک مدل black box خارج میکنه و تغییرپذیر (interpretable) میشن!
چیز جالبی به نظر میرسه
In this manunoscript, we show that any neural network having piece-wise linear activation functions can be represented as a decision tree. The representation is equivalence and not an approximation, thus keeping the accuracy of the neural network exactly as is. This equivalence shows that neural networks are indeed interpretable by design and makes the \textit{black-box} understanding obsolete. We share equivalent trees of some neural networks and show that besides providing interpretability, tree representation can also achieve some computational advantages. The analysis holds both for fully connected and convolutional networks, which may or may not also include skip connections and/or normalizations.
https://arxiv.org/abs/2210.05189
چیز جالبی به نظر میرسه
In this manunoscript, we show that any neural network having piece-wise linear activation functions can be represented as a decision tree. The representation is equivalence and not an approximation, thus keeping the accuracy of the neural network exactly as is. This equivalence shows that neural networks are indeed interpretable by design and makes the \textit{black-box} understanding obsolete. We share equivalent trees of some neural networks and show that besides providing interpretability, tree representation can also achieve some computational advantages. The analysis holds both for fully connected and convolutional networks, which may or may not also include skip connections and/or normalizations.
https://arxiv.org/abs/2210.05189
📣Big news!!!
Pandas DataFrame output is now available for all sklearn transformers (in dev)! This will make running pipelines on dataframes soo much easier, and provides better ways to track feature names!
🔥This is one of the biggest improvements in scikit-learn in a long time and we'd love your feedback! Please try out the nightly built and give it a go!
https://scikit-learn.org/dev/auto_examples/miscellaneous/plot_set_output.html#sphx-glr-auto-examples-miscellaneous-plot-set-output-py
Pandas DataFrame output is now available for all sklearn transformers (in dev)! This will make running pipelines on dataframes soo much easier, and provides better ways to track feature names!
🔥This is one of the biggest improvements in scikit-learn in a long time and we'd love your feedback! Please try out the nightly built and give it a go!
https://scikit-learn.org/dev/auto_examples/miscellaneous/plot_set_output.html#sphx-glr-auto-examples-miscellaneous-plot-set-output-py
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Forwarded from Blue Phoenix
Why do I sabotage everything I love?
It's always beautiful until I fuck it up
Why do I sabotage everything I love?
The walls are closing in because I built them up
Why can't I let myself be happy? (Ooh)
Why do I gotta get in my own way? (Ooh)
My shoes are worn out, always runnin'
From the reasons that I really wanna stay
It's always beautiful until I fuck it up
Why do I sabotage everything I love?
The walls are closing in because I built them up
Why can't I let myself be happy? (Ooh)
Why do I gotta get in my own way? (Ooh)
My shoes are worn out, always runnin'
From the reasons that I really wanna stay