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vakНарод умудрился запихнуть алгоритмы искусственного интеллекта в 2 килобайта памяти.
"We have deployed Bonsai and ProtoNN on the Arduino Uno (8 bit ATmega328P microcontroller operating at 16 MHz without floating point support, 2 KB RAM and 32 KB read-only flash memory) and found that they can accurately make predictions within a few milliseconds."
Статья: "Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things" (PDF)
Исходники лежат на Гитхабе: https://github.com/Microsoft/EdgeML
"We have deployed Bonsai and ProtoNN on the Arduino Uno (8 bit ATmega328P microcontroller operating at 16 MHz without floating point support, 2 KB RAM and 32 KB read-only flash memory) and found that they can accurately make predictions within a few milliseconds."
Статья: "Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things" (PDF)
Исходники лежат на Гитхабе: https://github.com/Microsoft/EdgeML
Re: Не совсем
Date: 2018-11-23 16:23 (UTC)хотя, при желании её можно обозвать и эвристикой
а еще эндшпильная. ;)
Re: Не совсем
Date: 2018-11-23 16:45 (UTC)Re: Не совсем
Date: 2018-11-23 16:58 (UTC)