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zakruti.com » Knowledge, science, education » Crash Course
Unsupervised Learning: Crash Course AI #6

Unsupervised Learning: Crash Course AI #6

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Rating: 4.0; Vote: 1
Unsupervised Learning: Crash Course AI #6 Ewemiz: How exactly does representation learning/reconstructing one picture allow an AI to see if two images are similar? The example provided only talked about reconstructing one image, and not comparing two. Also, why would a neural network need to reconstruct an image when the original image pixels' data is already there?
(I'm really new to AI, and I've enjoyed this series so far! I'm just a little confused about this one. Many thanks to anyone who can help)

Date: 2022-04-04

Comments and reviews: 9


Heres a quick one for you. What if we build it so it has no dependance on air? How do you block a concept, keep it blocked from itself? Like how to hard code something even if it breaks the basic ruless of physics and pose it as truth, when in fact it means something it should mean at the moment it was meant? This is a lot of work. I dont think our tradicional computer is able to do this. We gotta make our cpu in 3D. Use lightning to stamp them.
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I find it interesting that at one point Jabrils points out that the human brain is specially designed for this kind of learning, but then goes on to say that the structures and patterns were developed through billions of years of evolution. Design and evolution don't work hand in hand. Patterns don't develop from evolutionary change. The patterns like our brains were designed in the universe.
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The problem will be human bias in AI. Such as machine hiring. such as in the example that the best candidate for a new CEO position is a white male with a phd from harvard and 20 years experiance. NOPE lets re program AI to hire a far less qualified woman. Dont belive it will happen? Google Amazon AI hiring robot. We will F up AI with politics and PC garbage. Watch. It WILL happen
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Interestingly, it didn't even occur to me until I saw the side-by-side drawing and photo to include the style of table cloth or plate! My brain focused on the number of pepperoni slices and their position upon the pizza, assuming the rest of the pizza is a standard shape that didn't need remembering. I'd make a bad AI algorithm, but this taught me a lot about how I learn!
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But even the human brain isn-t trained with pure unsupervised or supervised learning. Various feedback mechanisms provide a type of supervision? Such as pain in the case of not touching a hot stove or a parent telling a child not to touch the hot stove. That being said this series does provide a good overview of the current state of the art in AI
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My first brush with machine learning was when I played Black & White. I have it installed on my computer still. Imagine if they made a modern version with even better AI or AI with more processing power.
Or imagine a creature challenged to complicated tasks and taught by a streaming community on how to solve them.

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Hugely informative. but I think we-d do well by having a primer of sorts. For example, the tools to use to explore machine learning, some rudimentary or introductory tasks to get going. Theory is important, yes, but it only goes so far. Learners need to have an example of _something_ to mimic.
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The idea of AI being able to reproduce an exact copy of a visual image is cool but it could also create an altered image that's undetectable as a fake.
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Why can't I eraase crash corse from my you tubess?
Off i dont get an answer I was boycott crash corce and I spread the news to boycott them.

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