Very cool, but I wish you had at least discussed how much memory savings you get at various compression levels given that that's the whole point of the exercise to begin with. Is it just a simple ratio of dimensions, or are the dynamics of the algorithm more complex? Btw, gotta say that I love the direction of new content. Regular tutorials have been beaten to death. Pushing forward into the obscure but useful is one of the bigger things that set you apart from the rest of the "How to Code 101"s.
Please make a tutorial on other programming language also instead of python. Plz make a tutorial on c/c++ or Swift/Java /Kotlin or binary exploit or dsa of c/c++
![[Gegagedigedagedago] NEW Help Gegagedigedagedago Nugget escape from Nikocado Avocado Challenge](http://i.ytimg.com/vi/hJWnwRC2Fz8/mqdefault.jpg)
![How are Images Compressed? [46MB ↘↘ 4.07MB] JPEG In Depth](/img/n.gif)
We follow your work here in Brazil!! This content is really good. Keep it up !!
What happens in the inverse transform step? I mean how is it that it converts the 50 pixels into 1000 again and how is compressed this way?
Very cool, but I wish you had at least discussed how much memory savings you get at various compression levels given that that's the whole point of the exercise to begin with. Is it just a simple ratio of dimensions, or are the dynamics of the algorithm more complex?
Btw, gotta say that I love the direction of new content. Regular tutorials have been beaten to death. Pushing forward into the obscure but useful is one of the bigger things that set you apart from the rest of the "How to Code 101"s.
Why Splitting the picture into r,g,b instead of all together? Does the PCA only Work with One dimensional data as Last Dimension?
Do you know how someone might serialize the pca_r object? What's in that thing?
Thanks for the great content, Please also make a video about Attention Mechanism.
It will be good to share the code also with your videos as a github link. :)
TY for the valuable content
Please make a video on scrapping and sentiment analysis on twitter using twint python
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can this be used to remove noise in an image?
No, if the original is noisy that information is lost.
sort of, but it will be a more blurry image.
You can also look at things like kmeans (witha high k) or top-hat filter.
Thx.
Cool
Damn
Please make a tutorial on other programming language also instead of python. Plz make a tutorial on c/c++ or Swift/Java /Kotlin or binary exploit or dsa of c/c++