EnDe neural network

RDT_20231019_1836083379190179850086399

It was 5, but my mind still can’t know what it was at first sight. It takes some milli seconds to know. Why it takes a little more time than normal to know it was 5? Can you explain that

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my guess is that whatever is the system that imposes a transformation frame is not habituated at outputing upside down frames, it initially assumes a upright reference frame, then a error signal somewhere makes it flush the current guess and try again.

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The error message is what i call the model in my mind can’t combine the information what i know and what i was seeing. We can’t prevent it since the input was represented in a new form. As long as the input was misrepresented its not possible to get right output atleast for a few attempt. Then a auto rotator or more generalization of the model can be done. I don’t know, im just saying what i believe. I may be wrong. If the input was misrepresented then a wrong / different output is inevitable. This problem should not be solved, because generation of guess can be destroyed if solved.

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I guess this famous illusion can demonstrate better.

You can see the model roating both ways. and you can switch which direction you see her rotating at will.

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Reading upside down is hard for humans.
When I was teaching it took me a long time to develop the skill to read the students materials while we were discussing the lesson at their desk.
I can’t see why we should expect a NN to do it any better.

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Yes… there is no need to define what is nothing. Do you think that the brain somehow encodes and decodes the information?

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Beautiful one… Why illusion cannot reduce attention? It increases even though we are seeing the same input but in different form? Why?

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I’m not sure but I dont think optical illusions affect attention in any way, attention is more robust than that. you may be paying more attention just because its interesting.

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use self-attention, if you wanna stay safe. Delve into the literature for better/smarter options…

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It’s less about reading, but rather being able to generalize and be flexible

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Yes… thanks will look into it