Tensorflow(@CVision) | United States America (US)

Create: 2024-11-07 Update: 2025-07-05 17:13:48

مشکلی که توی مقاله قبلی وجود داره، علی رغم نکات بسیار مهم و کاربردی اینه که این مدل باbackpropagation و به صورت آفلاین آموزش دیده، اما نسخه ‌ای از همین مدل شبکه وجود داره که میتونه به صورت آنلاین و در لحظه یاد بگیره، درست مثل مغز انسان!

در واقع این مقاله ترکیبی از کارهای قبلی به همراه شبکه های اسپایکی یا Spiking Neural Networksهست.

در شبکه‌های عصبی اسپایکی علاوه بر متغیرهای حالت نورونی و سیناپسی، مفهوم زمان نیز در مدل در نظر گرفته میشه. توی شبکه‌های عصبی معمولی، خروجی هر نورون در هر تکرار محاسبه و به روز رسانی میشه، اما در شبکه‌های عصبی اسپایکی، هر نورون تنها زمانی اسپایک تولید میکنه که پتانسیل غشای اون از یک حد آستانه بیشتر شده باشه.

شبکه‌عصبی اسپایکی در واقع نزدیک ترین بازسازی ساختار مغز انسانه.

ادامه دارد...

https://arxiv.org/abs/2112.11231

Tensorflow(@CVision)

توی ویدیو بالا توضیح میده که در مقایسه با مدل‌های دیگه، برای انجام وظیفه‌ ای مثل هدایت خودرو، مدل LTCN تنها به حدود ۱۹ نورون نیاز داره، در حالی که سایر مدل ‌ها برای همون کار به هزاران نورون نیاز دارن. از نکات مهم ارایه شده در این کار میشه به موارد زیراشاره…

arXiv.org

Accurate online training of dynamical spiking neural networks...

The event-driven and sparse nature of communication between spiking neurons in the brain holds great promise for flexible and energy-efficient AI. Recent advances in learning algorithms have...

hottg.com/cvision/3803

2.8K viewsAlister ☄️, Nov 7, 2024 at 18:43

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Tensorflow(@CVision)

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مشکلی که توی مقاله قبلی وجود داره، علی رغم نکات بسیار مهم و کاربردی اینه که این مدل باbackpropagation و به صورت آفلاین آموزش دیده، اما نسخه ‌ای از همین مدل شبکه وجود داره که میتونه به صورت آنلاین و در لحظه یاد بگیره، درست مثل مغز انسان!

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