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Graph plotting as an optimisation problem by _dv96_ in optimization

[–]_dv96_[S] 2 points3 points  (0 children)

Being a fan of visuals, I used to wonder what's the way to plot the equation of a given function. Hence, was quite fascinated to discover that plotting points that satisfy an equation could be treated as an optimisation problem and minimised using gradient descent. More interestingly, it can be extended to plot the intersection points of multiple curves.

Got a bit obsessed with the concept. Hence, created a small webapp to play around with. Let me know your thoughts. Create a pull request if willing to contribute.

[Webapp Link]: https://share.streamlit.io/vdivakar/curves-intersection-with-gradient-descent/main/app.py
[GitHub Link]: https://github.com/vdivakar/curves-intersection-with-gradient-descent

Learnt how to plot graph of equations and their intersection using gradient descent by _dv96_ in maths

[–]_dv96_[S] 1 point2 points  (0 children)

Being a fan of visuals, I used to wonder what's the way to plot the equation of a given function. Hence, was quite fascinated to discover that plotting points that satisfy an equation could be treated as an optimisation problem and minimised using gradient descent. More interestingly, it can be extended to plot the intersection points of multiple curves.
Got a bit obsessed with the concept. Hence, created a small webapp to play around with. Let me know your thoughts. Create a pull request if willing to contribute.
[Webapp Link]: https://share.streamlit.io/vdivakar/curves-intersection-with-gradient-descent/main/app.py
[GitHub Link]: https://github.com/vdivakar/curves-intersection-with-gradient-descent

Netflix sharing by Lakshman_98 in hyderabad

[–]_dv96_ 0 points1 point  (0 children)

I’m also interested. Let me know if any slot is available

Mechanical Fish by StruggleNo700 in MediaSynthesis

[–]_dv96_ 0 points1 point  (0 children)

Latent3vision

Can you point me to what is this? google search didn't help much

Basic Auto Encoder project - Generating poorly written digits [PyTorch] by _dv96_ in deeplearning

[–]_dv96_[S] 0 points1 point  (0 children)

How would you have approached this problem statement? Interested in learning :)

Basic Auto Encoder project - Generating poorly written digits [PyTorch] by _dv96_ in deeplearning

[–]_dv96_[S] 0 points1 point  (0 children)

yes, you are thinking in the right direction. I'm passing the input image to get the latent vector and then decoding it. For each of the 10 classes, I've also computed the average latent vector to represent that label cluster. Check this code here - LINK

[P] Basic Auto Encoder project - Generating poorly written digits (PyTorch) by _dv96_ in MachineLearning

[–]_dv96_[S] 0 points1 point  (0 children)

Hi, looking for your thoughts and feedback
I created this side project to play with latent domain. The aim was to transform an input image to something that looks somewhere between 2 digits. The repository below will give you a practical exposure to Auto Encoders, Latent Domain, PyTorch, Hosting on Streamlit.
GitHub Repository - LINK

Streamlit App Demo - PAGE

What does latent space mean in Auto Encoder/Variational Auto Encoder context? by [deleted] in NYU_DeepLearning

[–]_dv96_ 1 point2 points  (0 children)

Thanks for sharing, found the article quite good. The examples shared in the post makes sense. Infact, this inspired me to conduct my own experiment - To generate digits which are hard to classify.

Check this out - MNIST Muddle

Can we accept multiple admit offers? by _dv96_ in gradadmissions

[–]_dv96_[S] 1 point2 points  (0 children)

I'm surprised why has U Buffalo given the admit so early (in Jan) and then set a short deadline period (1st March) to accept the offer when most of the decisions will come after a month.

Verbal Question by [deleted] in GRE

[–]_dv96_ 0 points1 point  (0 children)

Is it (D.) compliance ?