CNN

Обзор

A convolutional neural network applies the same small filter at every position of an input, so it learns a pattern once and recognises it anywhere. It solves the parameter explosion that a fully connected layer would suffer on an image, where each pixel would need its own weight. It exists because locality and translation invariance are true of images and largely untrue of language, which is why vision and language ended up with different architectures.

Граф технологий

Как CNN связана с остальным стеком.

Альтернативы

• ViT architecture

  Альтернатива для CNN · source

Сравнения

Подробные сопоставления с альтернативами выше.

• CNN vs ViT