What I learned from CodeParade: The most important feature of a face is shirt color What I learned from CaryKH: The most important feature of a face is lighting
Looks scary, but I think it's actually a midway-point between having sunglasses and not having them. Squint your eyes to blur your vision, and the once-terrifying face now looks too cool for school
@@JazevoAudiosurf Actually, became is the past tense of become, so your grammar correction is incorrect. BecauseBGGAMING Deluxe said "has officially", being past tense, the word became grammatically fits. Why don't you actually look things up before you make grammar corrections, so you don't look stupid. If BGGAMING used the word "become", then it would be present tense, and the phrase "has officially" makes the sentence past tense.
I think that the 6th slider is not related to temperature. It is related to being outside or not. Notice it gets redder when the eyebrows go down. There's so much sunlight that the stars slightly squint their eyes. Non-natural light like a light bulb (mostly white) doesn't blind you that much, doesn't hurt your eyes, so you can keep your eyebrows raised with no problem.
Too bad you couldn't ask some random crowd of people to submit clearly labeled pictures of their own faces from a specific angle, with variations where they try their best to match an expression from a standard chart. That could be useful.
I work with very low resolution images of 80*60 thermal images. And blurring them with your eyes or looking at them in the distance makes the pixels disappeared and your brain interpolates a good image.
@Tristan Sachsenweger everything you do sensoriell is logarithmic to your brain, due to the nature of neurons - so guess would be it is as well - but once would want to do do experiments.
@Tristan Sachsenweger The brain is used to fill up missing information with experience, sometimes even a few pixels are enough to recognize an object. But if you look on a high res picture with open eyes, the brain expects to see such a high res image and stops interpolating. So if this image is blurry the brain recognizes the blurryness now. If you go to a distance and watch it again, the unclear picture looks like a clear picture in distance, so the brain starts to fill up the gaps again.
I think the two different traits, PCA 3 and 4 weren't horizontal shading as much as they were brightness for the left and right sides of the screen. While PCA 1 described the overall shading, and PCA 2 described the relationship of the shade of the skin to the shade of the background, I believe PCA 3 and 4 described the relationship between the shade of the skin to the shade of the background to the shade of left or right side.
0:10 How did this HAPPEN?🎵 A long time ago- actually never, and also now, nothing is nowhere. When? Never. Makes sense, right? Like I said, it didn't happen. Nothing was never anywhere. That's why it's been everywhere. It's been so everywhere, you don't need a where. You don't even need a when. That's how every it gets.
I have some KH's that you can use. kept hiding knows humble kisses hammers kangaroo holder kindled hero kind hugs just a few for you to use if you want
Carykh, as long as i've been watching your channel, i have to say you tought me alot, you have made me chukle, and very inspired to do all these things myself, they turned out very fun, it's amazing how much it's been done for all this time. I was hoping to write to you in a long time. Best regards.
Honestly, I think I've learned more about data science, machine learning, and neural networks from watching a few of carykh's videos than I learned from my college Data Science and Neural Networks classes combined. Your "layman's terms" or "basically" explanations are more informative than the wall of equations and mathematical definitions that my professors have tried to use to explain this kind of stuff.
I think that the ‘math’ may have accidentally stumbled upon some obscure genetic trait, or common combination of traits in humans, in a few cases. When one of the sliders effectively controlling skin color was changed, I noticed that the nose was turned upward as it got darker. Is there some way to further select for a neural network with more sharply isolated traits expressed in the sliders? Maybe something unconventional?
Dark skin, dark room - *YEA, BOIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII*
You should add a thing so you can put an image in and it changes the sliders by itself to try and match the image. Then we can store peoples faces in only like 50 bytes, as long as we have the program already.
If you want to replicate the Image perfectly, you will have to store as many information as before (plus the program) as a pca is only a rotation if you don't do dimension reduction. You'll have to accept (quite!) some loss of quality if you want to scale it down to 50 dimensions (from the eigenvalues I can see in the video).
Finally some amazing content I can watch... Honestly been waiting for so long Also I wish some of the stuff like 'evolution sim' were compatible on mic.
Awesome video! But I wouldn't assign a single trait to a single PCA component. It's more complicated than that. Even when you move the slider for component #2, not only do we see a change in skin tone, but also observe a change in gender (darker males), smiles, contour of nose, etc. The same can be said for all other components. Just something to keep in mind.
Wait what are the sliders literally just a basis for an eigenspace? Is this what people meant when they said that linear algebra is useful for "machine learning"?
Yes, though there's also some statistics involved in PCA as well. Neural networks require a butt-ton of matrix multiplication and (depending on the training method) some multivariate calculus.
Had linear algebra in my first year and didn't think much of it tbh (was too theoretical for me to image any sort of practical applications) then comes my 3rd year. Data acquisition? Boom! Linear algebra! Image processing? Boom! Linear algebra! Systems modeling and simulation? Boom! Linear algebra!
the ai was like me at homework, "so we got some pretty got things like temperatur, MakeUp, Smile, Vertical rotation and horizontal shading. But we still 6 more. LETS ADD MANY MORE HORIZONTAL SHADING!!!!!!!"
