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Английский язык

Текст для исправления от пользователя Amabitur

I work on a project with computer vision, we create some object detection tools for inspection­s.
I have been working on a pretty interestin­g task this week. It’s called ‘shared backbone’. Usually, every neural network has a feature extractor (backbone) and decoder (head). Neural networks aren't the fastest thing in the world, you know. And what if we have to use several networks at one time? Well, it takes time…
BUT you can use a trick: on the train stage you can freeze backbone layers, so you will train only head layers. And after that you will get several networks with the same backbones and different heads. And if you split your networks, you can be able to separately use backbone and heads.
You will no longer need to run backbone+head several times, you can run backbone one time and extract all necessary features and after that show these features to all heads. This will significan­tly speed up the inference time.
Язык: Английский   Знание языков: Носитель языка, В совершенстве, Свободно, Продвинутый, Средний, Начальный
Amabitur:  Could you please check my text?



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Вы можете откорректировать этот текст, если указали английский язык на одном из следующих уровней: Носитель языка, В совершенстве, Свободно, Продвинутый, Средний, Начальный

Исправлено GrossLearning

I work on a project that uses computer vision to create object detection tools.
I have been working on a pretty interestin­g task this week. It’s called ‘shared backbone. ' Usually every neural network has a feature extractor ("backbone") and a decoder ("head"). Neural networks are not the fastest thing in the world, especially if we have to use several networks at one time.
There
is a trick: on the training stage you can freeze the backbone layers, so you will train only head layers. After that, you will get several networks with the same backbone and different heads. If you split your networks, you separate out how you use the backbone and heads.
You will no longer need to run the backbone + head combinatio­n several times because you can now run the backbone one time and extract all necessary features and after that show these features to all the associated heads. This will significan­tly speed up the inferencin­g stage.
GrossLearning:  I upped the formality level by removing the "And" at the start of your sentences, you know. Dya have one backbone or more than one? It was unclear, so I made it consistent for one. MS Word has a style option for whether punctuation goes inside or outside of the quotes. You can infer how I've set my option!

GrossLearning:  Oops! You probably mean:display these features with all their associated heads.


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