Timeline for Can Machine Learning make economic decisions of human quality or better?
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| Jun 12, 2019 at 17:40 | comment | added | nexoma | sorry, N^(2^2), where N - input bits. AND IS IT ONLY FOR ONE OUTPUT BIT! | |
| Jun 12, 2019 at 15:18 | comment | added | nexoma | yes, but it's only dog/cat with the 28x28-pixel input. so for economic decision you need summarize a economic theory books, economic news, many economic reports and many politics and many others in manufacturing, geology, climat, states, human factor as leaders decisions. it's more broad than the 28 pixel machine learning. 2 input bits have 64 states based on 16 boolean logical funstions. 2^(2^N). and you need 4 bits for choice a function. | |
| Jun 12, 2019 at 15:13 | comment | added | Lio Elbammalf | @user8426627 Grammar is substantially more complex than image recognition (easily confused image recognition) but I do agree the 20k-200k figure seems a little like it was plucked out of thin air. | |
| Jun 12, 2019 at 15:01 | comment | added | user8426627 | maybe he over-estimates that a little bit, if an 8 layer stuff can recognize a dog. | |
| Jun 12, 2019 at 14:47 | comment | added | nexoma | en.wikipedia.org/wiki/Ilya_Sutskever was saying that the network with 10000 layers may understand grammar, may be! | |
| Jun 12, 2019 at 14:41 | comment | added | user8426627 | why so many layers? also as i input may be also feedback from humans. And yes, i think there will be need some advanced architectures, not straight feed forward as we know today- But it will be real project with usefull value, not regognizing cats and dogs, whatever | |
| Jun 12, 2019 at 14:40 | review | First posts | |||
| Jun 13, 2019 at 7:31 | |||||
| Jun 12, 2019 at 14:37 | history | answered | nexoma | CC BY-SA 4.0 |